Idea Transcript
Conference Guide
RadarConf 2016
2016 IEEE Radar Conference (RadarConf)
May 2-‐6, 2016 Philadelphia, Pennsylvania, USA
TABLE OF CONTENTS
Welcome Message from General Chair . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Welcome Message from Technical Program Chair . . . . . . . . . . . . . . . . 3 Welcome Message from AESS RSP Chair . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Welcome Message from Philadelphia’s Mayor . . . . . . . . . . . . . . . . . . . . 5 Organizing Committee . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Technical Review Committee Members . . . . . . . . . . . . . . . . . . . . . . . . . . 9 Session Chairs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Radar Systems Panel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Plenary Speakers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Banquet Address . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 AESS Awards and Fellows . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Corporate Supporters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Exhibitors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Student Paper Competition Finalists . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 Women in Radar Networking and Mentoring Event . . . . . . . . . . . . . . .30 Tutorials . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 Advertisements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63 Conference Agenda . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Technical Program Details . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70 Hotel Layout . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101
WELCOME FROM THE GENERAL CHAIR
Joseph G. Teti, Jr. General Chair, 2016 IEEE Radar Conference It gives me great pleasure to welcome you to the historic city of Philadelphia to participate in the 2016 IEEE Radar Conference. This year’s conference continues the success of past conferences with an excellent technical program with contributions from the national and international community. The technical program opens with a plenary session of invited speakers that will feature the Philadelphia region’s pioneering and ongoing contributions to the art of radar. The balance of the program is also rich in technical content and well organized in thematic parallel and poster sessions consistent with our conference theme Enabling Technologies for Advances in Radar. In addition, our technical program continues with the important tradition of a student poster paper competition that includes winner recognition during Thursday’s lunch program. In summary, this year’s program will both inform on recent accomplishments, and stimulate creative thinking for future advances in our field. Our technical program is complimented nicely with a strong set of tutorials that range from introductory to advanced topics. We hope you take advantage of this important learning opportunity to strengthen your understanding of radar fundamentals or expand the breadth of your knowledge in advanced and emerging topics. The technical program and scope of the tutorials would have made Philadelphia’s most prominent scholar, Benjamin Franklin, very proud. Social activities at this year’s conference include a Women in Radar Networking Lunch on Tuesday, an Exhibitor Reception Tuesday evening, and our Banquet Wednesday evening. The Banquet program begins with a reception featuring live entertainment from the uniquely Philadelphian Fralinger String Band, followed by dinner, the award ceremony and keynote address. This year’s award ceremony features the presentation of the first Robert T. Hill Award for the best Ph.D. Dissertation. Our banquet program concludes with a keynote address from Dr. Vijay Kumar, Dean of the School of Engineering and Applied Science at the University of Pennsylvania. Dr. Kumar’s research in robotics is world renowned, and his talk entitled Flying Robots: Beyond UAVs will be both entertaining and educational. Apart from the usual conference activities, our conference committee has prepared a Guest Program that enables participants to experience the historical and cultural attractions that are
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both world class and unique to the city of Philadelphia. We also hope you consider either arriving early or extending your stay to further enjoy the charm of the city, and its many cultural and culinary offerings. This year’s conference would not have been possible without the sponsorship of the IEEE AESS and the Philadelphia section of the IEEE, dedicated work of the organizing committee, enthusiastic participation from exhibitors, and generous support from industry. It particular, we are very grateful to have received premier corporate support from Lockheed Martin in neighboring Moorestown, NJ. Their dedication to supporting the field of radar and local radar community is exemplary. Thank you one and all.
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WELCOME FROM THE TECHNICAL PROGRAM CHAIR
David J. Farina Technical Program Chair, 2016 IEEE Radar Conference
On behalf of the technical program committee members, I would like to express my welcome to Philadelphia and our 2016 IEEE Radar Conference. We hope you enjoy all aspects of it. We appreciate the energy that the international radar community has shown for this conference. We had over 500 papers submitted, and 115 technical program reviewers. We accepted 181 oral papers and 100 poster papers. This all led to a high-quality program that we feel you will truly appreciate. The very dedicated volunteer reviewers were chosen for their breadth and expertise in Radar and it allowed us to give each paper a careful consideration with multiple reviews. I want to thank those that suggested special sessions; the conference has 12 special sessions and a total of 38 parallel sessions that cover a wide variety of systems, processing, hardware and algorithms. I also want to thank the session co-chairs for accepting that role and giving our conference a personal feel. The students represent our future. This year 20 student papers are being presented in the oral format. All 93 accepted student papers were also part of a student contest, led by James Onorato, open to all papers whose primary author is an active full-time student. The contest is to encourage graduate students to pursue radar and related technologies. The top 3 winners will be recognized at the conference and receive a cash award. In addition, the top 10 receive a radar textbook. We also gratefully acknowledge the generous financial support of the U.S. National Science Foundation, which sponsored our student travel grants. We want to especially thank the paper authors for their contributions to this conference and the advancement of radar. Your papers are the cornerstone of the conference. Again, Welcome to Philadelphia and enjoy meeting the other thought leaders in radar.
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WELCOME FROM THE AESS RSP CHAIR
Maria Sabrina Greco AESS RSP Chair
Dear members of the Radar Systems Panel, AESS members, dear attendees, It’s my pleasure to welcome you to the 2016 AESS Radar Conference, this year held again in the beautiful Philly, after many years. As all the conference volunteers know, organizing a big conference is never an easy job and even though sometimes everything seems to go wrong, fortunately it never happens, thanks to the dedication, the patience and the work of the organizers. At the end, magically, every piece of the puzzle goes to the right place in the big picture. So, here we are, with an excellent technical program, 23 tutorials on Monday and Friday, 38 oral and poster sessions and a very interesting guest tour program. I wish you to enjoy the conference and, if you have some spare time, the Spring in Philadelphia. All the best.
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ORGANIZING COMMITTEE
General Chair
Deputy General Chair
Dr. Joseph G. Teti, Jr., Lambda Science, Inc.
Mr. Allan Croly, Lockheed Martin MST
Technical Program Chair
Senior Conference Advisor
Dr. David J. Farina, Lockheed Martin MST
Dr. John K. Smith, Consultant
Local Arrangements Chair
Exhibits & Corporate Support Chair
Mr. Thomas L. Fagan, TLF Associates
Mr. Joseph J. Schanne, Lambda Science, Inc.
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Publications Chair
Student Poster Competition Chair
Dr. Fauzia Ahmad, Villanova University
Mr. James Onorato, Telephonics Corporation
Tutorials Chair
Registration Chair
Dr. Marshall Greenspan, Consultant
Mr. Michael A. Mayor, Consultant
Electronic Services Co-Chair
Electronic Services Co-Chair
Mr. Patrick Cahill, Lambda Science, Inc.
Mr. Justin M. Buckley, Lambda Science, Inc.
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Finance Chair
IEEE Philadelphia Section Liaison
Mr. Robert L. Johnston, Lockheed Martin SSC
Mr. I. Marvin Weilerstein, Consultant
Publicity Chair
Conference Coordinator
Mr. Peter M. Silverberg, Consultant
Ms. Linda L. Marciano, Lockheed Martin
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TECHNICAL REVIEW COMMITTEE MEMBERS The Technical Program Chair wishes to thank all of the reviewers for their support. Raviraj Adve Fauzia Ahmad Oliver Allen Moeness Amin Richard Anderson Stuart Anderson Greg Arlow Augusto Aubry Richard Bamler Yaakov Bar-Shalom Kristine Bell Mark Bell Jamie Bergin Fabrizio Berizzi Patrick Bidigare David Blacknell Daniel Bliss Ingar Blosfelds Rick Blum Shannon Blunt Kevin Buckley Patrick Cahill Gerard Capraro Vincenzo Carotenuto Elaine Chapin Victor Chen Margaret Cheney Mikhail Cherniakov Bill Correll Scott Coutts Guolong Cui Mark Davis James Day Antonio De Maio Armin Doerry Alfonso Farina David Farina Gordon Frazer Fulvio Gini
Scott Goldstein Maria Greco Hugh Griffiths Joseph Guerci Ali Cafer Gurbuz Sevgi Gurbuz Alexander Haimovich Aboulnasr Hassanien Randy Haupt Brett Haywood Scott Hensley Jeffrey Herd Braham Himed Bruce Hudson Michael Inggs Paul Kalata Joshua Kantor Krzysztof Kulpa Heiner Kuschel Alex Lackpour Marc Lesturgie Nadav Levanon Hongbin Li Michael Luddy Anthony Martone Marco Martorella Michael Mayor Robert McMillan William Melvin John Milan Eric Mokole Alberto Moreira Ram Narayanan Arye Nehorai Xavier Neyt Les Novak Dave Ott Luca Pallotta Jenny Palmer
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S. Unnikrishna Pillai Leigh Powis Daniel Rabideau Muralidhar Rangaswamy Brian Rigling Frank Robey Hermann Rohling Paul Rosen Joseph Schanne Dan Scholnik Daniel Sego Don Sinnott Mark Sletten John Smith Daniele Staglianò Chris Teixeira Joseph Teti Daniel Thomas Gerard Titi Russell Vela Keith Ward Simon Watts Matthias Weiß Michael Wicks Peter Willet Xiaopeng Yang Yeo-Sun Yoon David Zasada Yimin Zhang
SESSION CHAIRS The Technical Program Chair wishes to thank all of the Session Chairs for their support. Yuri Abramovich, WR Systems Raviraj Adve, University of Toronto Moeness Amin, Villanova University Laura Anitori, TNO Igal Bilik, General Motors Kristine Bell, Metron Inc. Jamie Bergin, ISL Inc. Daniel Bliss, Arizona State University Ingar Blosfelds, Lockheed Martin Rick Blum, Lehigh University Shannon Blunt, University of Kansas Eli Brookner, Raytheon (Retired) John Chapin, DARPA Victor Chen, US NRL (Retired) Margaret Cheney, Colorado State University Mikhail Cherniakov, University of Birmingham James Day, Lockheed Martin Mark Davis, Medavis Consulting Antonio De Maio, University of Naples Armin Doerry, Sandia National Labs Alfonso Farina, SELEX (Retired) Barry Fell, DARPA Gordon Frazer, DST Group Fulvio Gini, University of Pisa Scott Goldstein, ENSCO Inc. Maria Greco, University of Pisa Marshall Greenspan, Northrop Grumman (Retired) Hugh Griffiths, University College London Nathan Goodman, University of Oklahoma Mark Govoni, US Army Joseph Guerci, ISL Inc. Alexander Haimovich, NJIT Aboulnasr Hassanien, Villanova University Braham Himed, US AFRL Paul Kalata, Drexel University
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Joshua Kantor, MIT Lincoln Lab Ali Khenchaf, ENSTA Bretagne Steve Kogon, MIT Lincoln Lab Heiner Kuschel, Fraunhofer FHR Alex Lackpour, Lockheed Martin Pierfrancesco Lombardo, University of Rome Anthony Martone, US ARL Marco Martorella, University of Pisa William Melvin, GTRI Justin Melcalf, US AFRL John Milan, Retired Ram Narayanan, The Penn State University Jerry Nespor, Lockheed Martin Lam Nguyen, US ARL Dave Ott, Lockheed Martin Audrey Paulus, Georgia Tech Richard Pedersen, Lockheed Martin Michael Picciolo, ENSCO Inc. S. Unnikrishna Pillai, New York University Muralidhar Rangaswamy, US AFRL Brian Rigling, Wright State University Frank Robey, MIT Lincoln Lab Paul Rosen, Jet Propulsion Lab Dan Scholnik, US NRL Daniel Sego, Boeing David Tahmoush, US ARL Daniel Thomas, SRC Inc. Trac Tran, Johns Hopkins University Gerard Titi, Systems & Technology Research Simon Watts, SW Research Consultancy Michael Wicks, University of Dayton Peter Willet, University of Connecticut David Zasada, The MITRE Corporation Evan Zaugg, ARTEMIS Inc. Yimin Zhang, Temple University
RADAR SYSTEMS PANEL
Raviraj Adve, Canada
Krzysztof Kulpa, Poland
Fauzia Ahmad, USA
Heiner Kuschel, Germany
Chris J. Baker, UK
Marc Lesturgie, France
Dan Bliss, USA
Pierfrancesco Lombardo, Italy
Shannon Blunt, USA
Teng Long, China
Alexander Charlish, Germany
William L. Melvin, USA
Mark E. Davis, USA
Eric L. Mokole, USA
James K. Day, USA
Jennifer Palmer, USA
Antonio De Maio, Italy
Michael Picciolo, USA
Giuseppe A. Fabrizio, Australia
Dan Rabideau, USA
Alfonso Farina, Italy
Muralidhar Rangaswamy, USA
Gordon J. Frazer, Australia
Brian Rigling, USA
Fulvio Gini, Italy
Herman Rohling, Germany
J. Scott Goldstein, USA
Dan Sego, USA
Nathan Goodman, USA
Joseph G. Teti, Jr., USA
Maria Sabrina Greco, Italy
Dan Thomas, USA
Hugh Griffiths, UK
Simon Watts, UK
Joseph R. Guerci, USA
Michael C. Wicks, USA
Braham Himed, USA
Xiopeng Yang, China
Michael Inggs, South Africa
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PLENARY SPEAKERS
Dr. John K. Smith
“Brotherly Love for Radar” Abstract: Philadelphia, the City of Brotherly Love. We are gathered in a city with an important role in the history of the USA, and this talk will discuss some of the history of radar development which was based in local universities, local industry and local government labs. Radar engineers working in the Delaware Valley continue a tradition of creating new technologies and advancing radar science. This talk, and the speakers following me, will also highlight some of the current radar work in this locale. Topics include ship-based radars such as Aegis, long range tracking radars and instrumentation radars, airborne radars for AEW, ASW, and fire control, EW, radio cameras, and processing techniques. There is a rich history to draw from, going back to the radar detection of ships in 1934. The talk will also discuss some of the local radar pioneers in radar, and identify the large number of universities which provides this area with such a great capacity for interdisciplinary research and development. Biography: Dr. Smith has extensive experience and expertise in multi-disciplinary/multi-sensor systems engineering, with most activity in radar R&D. During his career, he worked on large and small radars at frequencies from UHF to mm-wave for/with DARPA, Navy, Air Force, and Army as well as other government and commercial agencies and enterprises. He now works as a consultant, primarily to DoD agencies, and has served on scientific advisory boards and major project review teams. Prior to working as an independent consultant, he was Principal Staff at the JHU Applied Physics Lab. While there he was assigned to DARPA as a Program Manager in both the Special Projects Office and the Sensor Technology Office. He led projects in cruise missile defense and novel signal processing, device and antenna technology. He received an OSD Award for Outstanding Achievement in 1998 and the 1999 DARPA Program Manager of the Year Award. Before working at DARPA he was the Microwave Technology Division Manager at the Naval Air Warfare Center in Warminster, PA. The Division developed new concepts for airborne radar and EW with involvement in all Navy aircraft, surveillance and tactical. In 1987 he received the ONR Exploratory Development Top Accomplishment Award. Dr. Smith graduated with a BSEE degree from the University of Pennsylvania summa cum laude, and with a PhD in Electronics from Cambridge University. He is a Fellow of Military Sensing Symposia, a Senior Member of the IEEE, and an emeritus member of the AESS Radar Systems Panel, having been its Chair in 1987-89. He was General Chair of the 2004 IEEE Radar Conference in Philadelphia.
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PLENARY SPEAKERS
Dr. Nader Engheta
“Tailoring Scattering Signatures with Metamaterials” Abstract: Recent years have witnessed unprecedented development in materials science and engineering, providing possibilities for manipulating electromagnetic fields and waves towards desired goals and applications. Specially engineered materials, known as metamaterials, have become one of the active topics of research in the EM, microwave and optics communities. Ability to tailor interaction of EM signals at the subwavelength scale provides powerful tools for tailoring scattering signatures and manipulating radar cross sections of targets of interest. As an example, the metamaterial cloaking has become one of the topics of growing research interest. In this talk, I will give an overview of various aspects of electromagnetic metamaterials and metastructures, will present and discuss some of the exciting possibilities offered by these platforms, and will forecast future directions and possibilities for radar cross section engineering. Biography: Dr. Engheta is the H. Nedwill Ramsey Professor at the University of Pennsylvania in Philadelphia, with affiliations in the Departments of Electrical and Systems Engineering, Materials Science and Engineering, Physics and Astronomy, and Bioengineering. He received his B.S. degree from the University of Tehran, and his M.S. and Ph.D. degrees from Caltech. He has received several awards for his research including the 2015 Gold Medal from SPIE (International Society for Optics and Photonics), the 2015 National Security Science and Engineering Faculty Fellowship (NSSEFF) Award from US DoD, the 2015 IEEE Antennas and Propagation Society Distinguished Achievement Award, the 2014 Balthasar van der Pol Gold Medal from the International Union of Radio Science, the 2013 Inaugural SINA Award in Engineering, the 2013 Benjamin Franklin Key Award, the 2012 IEEE Electromagnetics Award, the 2008 George H. Heilmeier Award for Excellence in Research, the Fulbright Naples Chair Award, NSF Presidential Young Investigator award, the UPS Foundation Distinguished Educator term Chair, 2006 Scientific American Magazine 50 Leaders in Science and Technology, Guggenheim Fellowship, and IEEE Third Millennium Medal. He is a Fellow of IEEE, American Physical Society (APS), Optical Society of America (OSA), Materials Research Society (MRS), American Association for the Advancement of Science (AAAS), and SPIE. His current research activities span a broad range of areas including metamaterials, nanophotoncis, nano-scale optics, graphene optics, imaging and sensing inspired by eyes of animal species, optical nanoengineering, microwave and optical antennas, and engineering and physics of fields and waves. He has co-edited (with R. W. Ziolkowski) the book entitled “Metamaterials: Physics and Engineering Explorations” by Wiley-IEEE Press, 2006. He was the Chair of the Gordon Research Conference on Plasmonics in June 2012.
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PLENARY SPEAKERS
Dr. Moeness Amin
“A Decade of Through Wall Radar Imaging” Abstract: This talk discusses the advances made in through-the-wall radar imaging over the last decade. It states the different objectives of research and development efforts in this area, and describes the main challenges specific to urban radar in terms of clutter, target ghosting, and multipath. We summarize effective approaches for wall clutter mitigation and multipath suppression and exploitation. The talk illustrates the role of Doppler, microDoppler, and change detection in indoor moving target detection and localization. It includes both distributed and colocated system configurations. We show how compressive sensing and sparse reconstruction techniques can be employed to enhance behind the wall target imaging and to relax constraints traditionally imposed on data sampling and acquisition. We describe some of the hand-held and vehicle mounted systems available for through wall radar imaging, delineate their properties and comment on their performance. Biography: Dr. Amin is the Director of the Center for Advanced Communications, Villanova University, Pennsylvania, USA. He is a Fellow of the Institute of Electrical and Electronics Engineers; Fellow of the International Society of Optical Engineering; Fellow of the Institute of Engineering and Technology; and Fellow of the European Association for Signal Processing. Dr. Amin is a Recipient of the 2014 IEEE Signal Processing Society Technical Achievement Award; Recipient of the 2009 Individual Technical Achievement Award from the European Association for Signal Processing; Recipient of the IEEE Warren D White Award for Excellence in Radar Engineering; Recipient of the IEEE Third Millennium Medal; Recipient of the 2010 NATO Scientific Achievement Award; Recipient of the 2010 Chief of Naval Research Challenge Award; Recipient of Villanova University Outstanding Faculty Research Award, 1997; and the Recipient of the IEEE Philadelphia Section Award, 1997. He was a Distinguished Lecturer of the IEEE Signal Processing Society, 2003-2004, and is currently the Chair of the Electrical Cluster of the Franklin Institute Committee on Science and the Arts. Dr. Amin has over 700 journal and conference publications in signal processing theory and applications. He co-authored 18 book chapters and is the Editor of the two books “Through the Wall Radar Imaging” and “Compressive Sensing for Urban Radar,” published by CRC Press in 2011 and 2014, respectively.
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PLENARY SPEAKERS
Dr. Alexander M. Haimovich
“From Random Arrays to Compressive Sensing” Abstract: The mathematical theory of random arrays, large antenna arrays populated sparsely with randomly placed elements, goes back to the 1960's. The field flourished in the 1970's and 1980's thanks to the pioneering work of Bernard Steinberg and others at the University of Pennsylvania, who developed algorithms and calibration methods and even built the first random arrays. Classical random array literature teaches that as the number of sensors increases, the radiation pattern of a random array converges to its average, and it is equal to the pattern of a filled array with the same aperture. However, two fundamental questions were left open: how many sensors are needed for localization as a function of the array aperture and the number of targets, and under what conditions specific algorithms have a high probability of success. Emerging in the mid 2000's, compressive sensing has quickly evolved into a very hot research topic covering many fields. In this talk, we will show how compressive sensing, the theory of recovery of information from undersampled data, may be applied to obtain answers to open questions on sparse, random arrays. The talk will discuss target detection and false alarms in the context of compressive sensing, and present algorithms that are specifically designed to meet radar requirements as well as feature reduced complexity offering a path to real-time, practical implementation. Biography: Dr. Haimovich received the B.Sc. degree in electrical engineering from the Technion–Israel Institute of Technology in 1977, the M.Sc. degree in electrical engineering from Drexel University in 1983, and the Ph.D. degree in systems engineering from the University of Pennsylvania in 1989. From 1983 to 1990, he was a design engineer and staff consultant at AEL Industries. He served as Chief Scientist of JJM Systems from 1990 until 1992. Since 1992 he has been on the faculty at the New Jersey Institute of Technology, where he currently serves as the Ying Wu Chair and Distinguished Professor in Electrical and Computer Engineering. He also serves as the Director of the Elisha Bar-Ness Center for Wireless Communications Research. He is an author on some of the seminal papers on MIMO radar. His current research interest include MIMO radar, active and passive localization, signal intelligence, sensor networks and wireless networks.
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PLENARY SPEAKERS
Mr. Steven E. Bruce
“Space Fence” Abstract: Space is no longer a vast, empty void. Unprecedented quantities of new satellites, derelict satellites, and debris litter the skies, posing an imminent threat to America’s space assets. The Space Fence System is a ground-based system of S-band radars designed to greatly enhance the Air Force Space Surveillance Network. Space Fence provides unprecedented sensitivity, coverage and tracking accuracy, and contributes to key mission threads with the ability to detect, track and catalog small objects in Low Earth Orbit (LEO), Medium Earth Orbit (MEO) and Geostationary Earth Orbit (GEO). Space Fence capabilities will revolutionize space situational awareness. Space Fence includes up to two minimally-manned radar sites and the Space Fence Operations Center. Each radar site features a design with closely-spaced, but separate, Transmit and Receive Arrays that are mission-optimized for high availability and low lifetime support costs, including prime power. The radar architecture is based on Digital Beamforming. This capability permits tremendous user-defined flexibility to customize volume surveillance and track sectors instantaneously without impacting routine surveillance functions. Space Fence offers assured surveillance coverage for improved custody and features the capability to develop long arc tracks for accurate orbit determination, while simultaneously maintaining a persistent surveillance volume. Space Fence allows operators to reconstruct recent events—such as collisions or satellite break-ups—and accurately predict future events. For highinterest objects, a “micro fence” can be electronically constructed to gather more track data, focusing radar resources specifically on that object, providing more timely and accurate information. The Space Fence System is net-centric and will seamlessly integrate into the existing Space Surveillance Network, providing services to external users—such as the Joint Space Operations Center (JSpOC)—and coordinating handoffs to other SSN sites. Space Fence is a robust, flexible, advanced end-to-end system that will meet the warfighter’s operational needs and revolutionize Space Situational Awareness. Biography: Mr. Bruce is Vice President, Advanced Systems, Integrated Warfare Systems & Sensors, for Lockheed Martin Corporation. In this capacity, he is responsible for leading the Corporation’s Space Surveillance radar activities, including Space Fence, the advanced electronic technology programs with DARPA and other Department of Defense laboratories, and our Synthetic Aperture Radar and Electronic Warfare programs. Previously, Mr. Bruce was Vice President, Business Development, for Lockheed Martin Corporation’s Radar Systems. In that role, he was responsible for all aspects of domestic and international business development activities, including serving as Capture Manager for a major U.S. Army Program, from April
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2006 to September 2006 that resulted in capturing the counter-fire radar (TPQ-53) franchise. Throughout his career, Mr. Bruce has led several critical initiatives for Lockheed Martin Corporation, including capture of the Romanian Gap Filler Radar and Space Fence programs and served as the Mission Systems and Sensors (MS2) Business Development Lead from October 2009 to May 2010. Prior to joining Lockheed Martin, Mr. Bruce was Vice President and Center Director, System Technology Center for Syracuse Research Corporation in North Syracuse, N.Y from 2002-2006. He was responsible for all aspects of the company with regards to profit/loss, budgets, and strategic and annual operating plans, including Programs, Engineering, Business Development and other functional organizations to successfully meet rate targets and increase revenues each year, making SRC one of the fastest growing defense companies in Central New York. Mr. Bruce holds a bachelor’s degree in Electrical Engineering from Michigan Technological University and a master’s degree in Computer Engineering from Syracuse University. Mr. Bruce has served on the board of Syracuse Symphony Orchestra and the Syracuse Museum of Science and Technology.
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BANQUET KEYNOTE ADDRESS
Dr. Vijay Kumar
“Flying Robots: Beyond UAVs” Abstract: Flying robots can operate in three-dimensional, indoor and outdoor environments. However, many challenges arise as we scale down the size of the robot, which is necessary for operating in cluttered environments. I will describe recent work in developing small, autonomous robots, and the design and algorithmic challenges in the areas of (a) control and planning, (b) state estimation and mapping, and (c) coordinating large teams of robots. I will also discuss applications to search and rescue, first response and precision farming. Publications and videos are available at kumarrobotics.org. Biography: Dr. Kumar is the Nemirovsky Family Dean of Penn Engineering with appointments in the Departments of Mechanical Engineering and Applied Mechanics, Computer and Information Science, and Electrical and Systems Engineering at the University of Pennsylvania. Dr. Kumar received his Bachelor of Technology degree from the Indian Institute of Technology, Kanpur and his Ph.D. from The Ohio State University in 1987. He has been on the Faculty in the Department of Mechanical Engineering and Applied Mechanics with a secondary appointment in the Department of Computer and Information Science at the University of Pennsylvania since 1987. Dr. Kumar served as the Deputy Dean for Research in the School of Engineering and Applied Science from 2000-2004. He directed the GRASP Laboratory, a multidisciplinary robotics and perception laboratory, from 1998-2004. He was the Chairman of the Department of Mechanical Engineering and Applied Mechanics from 2005-2008. He served as the Deputy Dean for Education in the School of Engineering and Applied Science from 2008-2012. He then served as the assistant director of robotics and cyber physical systems at the White House Office of Science and Technology Policy (2012 – 2013). Dr. Kumar is a Fellow of the American Society of Mechanical Engineers (2003), a Fellow of the Institution of Electrical and Electronic Engineers (2005) and a member of the National Academy of Engineering (2013). Dr. Kumar’s research interests are in robotics, specifically multi-robot systems, and micro aerial vehicles. He has served on the editorial boards of the IEEE Transactions on Robotics and Automation, IEEE Transactions on Automation Science and Engineering, ASME Journal of Mechanical Design, the ASME Journal of Mechanisms and Robotics and the Springer Tract in Advanced Robotics (STAR).
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He is the recipient of the 1991 National Science Foundation Presidential Young Investigator award, the 1996 Lindback Award for Distinguished Teaching (University of Pennsylvania), the 1997 Freudenstein Award for significant accomplishments in mechanisms and robotics, the 2012 ASME Mechanisms and Robotics Award, the 2012 IEEE Robotics and Automation Society Distinguished Service Award, a 2012 World Technology Network Award, and a 2014 Engelberger Robotics Award. He has won best paper awards at DARS 2002, ICRA 2004, ICRA 2011, RSS 2011, and RSS 2013, and has advised doctoral students who have won Best Student Paper Awards at ICRA 2008, RSS 2009, and DARS 2010. More information about Dr. Kumar’s research can be found in his TED talks. (http://www.ted.com/speakers/vijay_kumar)
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FRED NATHANSON MEMORIAL RADAR AWARD The Nathanson Young Engineer of the Year is an annual award, in honor of the late Fred Nathanson, sponsored by the IEEE/AES Radar Systems Panel of the Aerospace and Electronic Systems Society. The purpose of this award is to grant international recognition for outstanding contributions to the radar art by young IEEE/AESS members. The goals of the Radar Systems Panel in granting this award are to encourage individual effort and to foster increased participation by developing radar engineers. The 2016 Fred Nathanson Memorial Radar Award to the Young Engineer of the Year is presented to Dr. Ryan Hersey “for contributions to dismount moving target indication and adaptive radar signal processing.” Dr. Ryan Hersey is a Principal Research Engineer and head of the Advanced Processing and Algorithms Branch in the Georgia Tech Research Institute’s Sensors and Electromagnetic Applications Laboratory (GTRI/SEAL). At GTRI, he is the project director and principal investigator on multiple programs developing and implementing advanced ISR systems. He received his Ph.D. in Electrical and Computer Engineering from Georgia Tech and his M.S. and B.S. degrees in Engineering Science and Mechanics from Penn State University. He specializes in adaptive array processing, simulation, and modeling. Dr. Hersey is highly experienced in the field of adaptive array processing, particularly in the application area of ground moving target indication (GMTI) through space-time adaptive processing (STAP). He has specific interests in SAR-GMTI processing, dismount detection, coherent change detection, conformal arrays, space-based radar, systems engineering, and real-time processing. He is a senior member of IEEE. He has refereed journal publications on adaptive processing for conformal arrays, and has received several best paper awards at the IEEE Radar Conference and Tri-Service Radar Symposium. He has also developed and taught STAP, GMTI, and AESA short courses offered by Georgia Tech.
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WARREN D. WHITE AWARD The Warren D. White Award for Excellence in Radar Engineering was established by the Warren White family to recognize a radar engineer for the achievement of a major technical advance, or a series of advances over time, in the art of radar engineering. The 2016 Warren D. White Award for Excellence in Radar Engineering is presented to Mr. James Day “for contributions towards the development, flight testing, and production of Navy Airborne Early Warning radars.” Mr. James Day is the Technical Director of the Airborne Early Warning Radar business area and Senior Fellow at Lockheed Martin MST in Syracuse, NY, USA. He has been with Lockheed Martin and its heritage companies since 1980. Jim is technically responsible for all the airborne early warning radar programs at LM MST-Syracuse, leading a team of more than 150 people, primarily engineers. His major focus area has been the E-2 Advanced Hawkeye radar system. Jim is a past Chairman of the IEEE AESS Radar System Panel, an IEEE Fellow, and is author of the Chapter titled “Airborne MTI Radar” in Skolnik’s 3rd Edition of the “Radar Handbook”. Jim has also received Lockheed Martin’s highest award (NOVA award) for Leadership and was recently elected to the US Navy’s Hawkeye / Greyhound Hall of Honor. Mr. Day graduated with a BSEE degree from Michigan State University in 1980 and received his MSEE degree from Syracuse University in 1984.
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ROBERT T. HILL BEST DISSERTATION AWARD The Robert T. Hill Best Dissertation Award is an annual AESS award to recognize candidates that have recently received a Ph.D. degree and have written an outstanding Ph.D. dissertation in the field of interest of the Aerospace and Electronic Systems Society. Its purpose is to grant international recognition for the most outstanding Ph.D. dissertation by an AESS member. The 2015 Robert T. Hill Award is presented to Dr. Bosung Kang for his Ph.D. Dissertation “Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP).” Dr. Bosung Kang received his B.S. and M.S. degrees from Yonsei University, Seoul, Korea, in 2005 and 2007, respectively, and a Ph.D. degree in electrical engineering from the Pennsylvania State University, University Park, PA, in 2015. He is currently a postdoctoral scholar of electrical engineering at the Pennsylvania State University, University Park, PA. He worked at LG Electronics, Seoul, Korea, as a research engineer, from 2007 to 2011. He developed image and video signal processing algorithms in mobile camera and monitor applications. He was a recipient of the First Place in the Student Paper Competition at the IEEE Radar Conference, Cincinnati, OH, 2014. He is working on radar signal processing including covariance estimation and waveform design in practical radar applications. His research interests include image/video signal processing, detection and estimation, and radar signal processing, and convex optimization.
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HARRY ROWE MIMNO AWARD The Harry Rowe Mimno Award was established to recognize and foster excellence in clear communication of technical material of widespread interest to AESS members, and to honor the contributions of Dr. Harry Rowe Mimno to the AESS. The award is presented to the authors of the “best paper” selected from among those published in the IEEE Aerospace & Electronic Systems Magazine. The winners of the 2014 H. Rowe Mimno Award are Prof. Michael Inggs, Dr. Craig Tong, Dr. Roaldge Nadjiasngar, Mr. Gunther Lang, Prof. Amit Mishra, and Dr. Francois Maasdorp for the paper “Planning and Design Phases of a Commensal Radar System in the FM Broadcast Band” published in the IEEE Aerospace and Electronic Systems Magazine in July 2014. Quoting from the nomination and the endorsement letters: “The paper represents an excellent example of sequential technical writing from problem statement through to technical execution and result analysis,” and more “The production of this article is of immense value to the radar community because it shares the benefits of this long process and provides precious guidance on architectures, methods, and directions that can work effectively in the real-world.”
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IEEE FELLOWS - AESS CLASS OF 2016 The IEEE Grade of Fellow is conferred by the Board of Directors upon a person with an extraordinary record of accomplishments in any of the IEEE fields of interest. The total number selected in any one year does not exceed one-tenth of one percent of the total voting Institution membership. Each new Fellow receives a beautifully matted and framed certificate with the name of the Fellow and a brief citation describing the accomplishment, a congratulatory letter from the incoming IEEE president and a gold sterling silver Fellow lapel pin with antique finish. The 2016 AESS Class of IEEE Fellows includes Dr. Shannon D. Blunt “for contributions to radar waveform diversity and design.” Shannon D. Blunt received the B.S., M.S., and Ph.D. degrees in electrical engineering from the University of Missouri in 1999, 2000, and 2002, respectively. From 2002 to 2005 he was with the Radar Division of the Naval Research Laboratory (NRL) in Washington, D.C. Since 2005 he has been with the Department of Electrical Engineering and Computer Science at the University of Kansas (KU) where he is currently a Professor and Director of the Radar Systems & Remote Sensing Lab (RSL). In 2008 Prof. Blunt received the AFOSR Young Investigator Award and in 2012 he received the IEEE/AESS Nathanson Memorial Radar Award. He is a member of the AESS Radar Systems Panel where he is currently Chair of the Conferences Committee and the Nathanson Award Committee. He is an Associate Editor for IEEE Transactions on Aerospace & Electronic Systems and is on the Editorial Board for IET Radar, Sonar & Navigation. He was General Chair of the 2011 IEEE Radar Conference in Kansas City. He was Chair of the NATO SET-179 research task group on “Dynamic Waveform Diversity & Design” and a member of the NATO SET-182 research task group on “Radar Spectrum Engineering & Management” and the NATO SET-227 research task group on “Cognitive Radar”.
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The 2016 AESS Class of IEEE Fellows includes Dr. Giuseppe A. Fabrizio “for contributions to adaptive array signal processing in over-the-horizon radar systems.” Giuseppe A. Fabrizio received his B.E. and Ph.D. degrees from the Department of Electrical and Electronic Engineering at the University of Adelaide in South Australia (1992 and 2000). The Ph.D. degree was awarded for contributions in adaptive array signal processing with application to high frequency (HF) radar. Since 1993, Dr. Fabrizio has been with the Australian Defence Science and Technology (DST) Group. From 2005 to 2015, he led the EW and signal processing section of the HF radar branch, where he was responsible for the development and practical implementation of innovative and robust adaptive signal processing techniques to enhance the operational performance of modern over-the-horizon (OTH) radar systems. In 2016, Dr. Fabrizio was appointed as the Group Leader of Microwave Radar Systems in DST Group’s Surveillance and Reconnaissance Branch, where he holds responsibility for all facets of R&D in active and passive phased array radar systems for maritime/land applications and providing S&T advice to Defence. Dr. Fabrizio is a Fellow of the IEEE and the principal author of over 50 peer-reviewed journal and conference publications. He is a recipient of the M. Barry Carlton Memorial Award for the best paper published in the IEEE Transactions on Aerospace and Electronic Systems (AES) on two occasions (2003 and 2004). In 2007, he received the DST Group’s coveted Science and Engineering Excellence award for his contributions to adaptive processing in Australia’s Jindalee Operational Radar Network (JORN). Dr. Fabrizio has presented OTH radar tutorials at seven national and international IEEE Radar Conferences. He is a member of the IEEE AES International Radar Systems Panel and is an IEEE AES Distinguished Lecturer. He served as Vice President of Education on the AES board of Governors (2012-2015) and is currently the Executive Vice President of the AES Society. Dr. Fabrizio has collaborated with international defence agencies including NRL, AFRL, IARPA, DRDC and ONERA under Memorandum of Understanding (MoU) agreements and has represented Australia in NATO SET-179, 182 and 227 task group activities. He has engaged extensively with private industry, including Lockheed Martin, BAE Systems and CEA Technologies, and has also collaborated with numerous academic institutions, both in Australia and abroad. Dr. Fabrizio received the IEEE AES Fred Nathanson Memorial Radar Award in 2011 for “Contributions to OTH Radar and Radar Signal Processing”. He is the sole author of a text entitled “Over-the-Horizon Radar Fundamental Principles, Signal Processing & Practical Applications”, McGraw-Hill, NY, 2013.
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The 2016 AESS Class of IEEE Fellows includes Dr. Mark B. Yeary “for contributions to radar systems for meteorology.” Mark B. Yeary received the B.S. (honors), M.S., and Ph.D. degrees from the Department of Electrical Engineering, Texas A&M University, College Station, TX in 1992, 1994, and 1999, respectively. Since fall 2002, he has been with the School of Electrical & Computer Engineering at the University of Oklahoma (OU), Norman, where he was named the endowed HudsonTorchmark Presidential Professor in 2011. He is also one of the founding members of the Advanced Radar Research Center (ARRC) at OU. His research interests are in the areas of digital signal processing (DSP) as applied to customized DSP systems and instrumentation for radar systems with an emphasis on hardware prototype development. For instance, he was the PI on the multi-channel receiver development for the SPY-1A antenna at the National Weather Radar Testbed (NWRT) at OU. He has served as a PI or Co-PI on grants from NASA, NSF, ONR, NOAA, Raytheon, DARPA (ACT Program with Rockwell-Collins), and AFRL. He has also spent fourteen summers (2002-2016) at Raytheon in or near Dallas, TX, USA. In the fall of 2012 and spring of 2013, Dr. Yeary joined the MIT’s Lincoln Laboratory on sabbatical on a team developing radar panels. He is a licensed Professional Engineer (PE).
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CORPORATE SUPPORTERS The Organizing Committee of the 2016 IEEE Radar Conference wishes to express their sincere thanks to the corporate supporters for their generosity.
PREMIER SUPPORTER
PLATINUM SUPPORTER
SILVER SUPPORTERS
BRONZE SUPPORTERS
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EXHIBITORS The Organizing Committee of the 2016 IEEE Radar Conference wishes to thank our Exhibitors for their support.
Altera® now part of Intel Annapolis Micro Systems, Inc. Ancortek Evans Capacitor Company 4DSP Gap Wireless I2R Nanowave Inc. IEEE – AES IET/SciTech Publishing Information Systems Laboratories, Inc. MathWorks Pentek Rohde & Schwarz Rotating Precision Mechanisms, Inc. SAMPL Lab, Technion University of Oklahoma Advanced Radar Research Center
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STUDENT PAPER COMPETITION FINALISTS Isolating Target Return from Reflections via Doppler Differentiation Ravi Kadlimatti and Adly T. Fam A Gradient Descent Implementation of Adaptive Pulse Compression Patrick McCormick, Shannon D. Blunt, and Thomas Higgins Super-resolution for Bistatic Distortion Mitigation Davide Cataldo and Marco Martorella Ambiguity Function for Distributed MIMO Radar Systems Christos V. Ilioudis, Carmine Clemente, Ian Proudler, and John J. Soraghan Bistatic ISAR Imaging Based on Phase Synchronization with Fiber Optic Link Jie Tian, Yongsheng Cheng, Nan Xie, and Dong Hou Radio Frequency Interference Suppression in Ultra-wideband Synthetic Aperture Radar Using Range-Azimuth Sparse and Low-Rank Model Sonia Joy, Lam Nguyen, and Trac D. Tran Exploitation of Noise Radar Waveforms Dynamic Range Improvement Janusz S. Kulpa, Łukasz Maślikowski, Mateusz Malanowski, and Krzysztof S. Kulpa Low SNR Track Detection with OTHR Based on a Refraction Model Kevin Romeo, Yaakov Bar-Shalom, and Peter Willett Radar Fall Motion Detection Using Deep Learning Branka Jokanovic, Moeness G. Amin, and Fauzia Ahmad A Recursive Approach for Adaptive Parameters Selection in a Multifunction Radar Mohammed Alahmadi, Graeme E. Smith, and Christopher Baker
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WOMEN IN RADAR NETWORKING AND MENTORING EVENT Proudly sponsored by
Tuesday, May 3, 2016, 12:00-1:20 pm Congress A The 2016 IEEE International Radar Conference is pleased to present the Women in Radar Networking and Mentoring Lunch. This annual event brings together female radar researchers and practitioners (plus interested male colleagues) at all experience levels and employment affiliations. Developing a convivial atmosphere enhances meaningful discussion of issues unique to women but important and pertinent to everyone in the radar and associated communities. This year we will have a speed networking event. Participants will be divided into mentor and protégé groups based on experience level in the field. Each protégé will rotate through all the mentors and have a chance to obtain quick, yet valuable, feedback on career issues. Guiding questions will be provided, but participants are encouraged to bring their own. The session will end with general discussion and questions among the group. Participants are encouraged to bring business cards to exchange during networking. A buffet lunch will be provided.
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TUTORIALS A-1 Introduction to Synthetic Aperture Radar Presented by Dr. Armin W. Doerry, Sandia National Labs, USA Synthetic Aperture Radar (SAR) is a radar imaging mode that maps radar reflectivity of the ground. This is an important earth resource monitoring and analysis tool in the civilian and government communities, and an important intelligence, surveillance, and reconnaissance (ISR) tool for the military and intelligence communities. The tutorial proposed herein is intended to provide an introduction to the physical concepts, processing, performance, features, and exploitation modes that make SAR work, and make it useful. Although mathematics will be shown in some parts of the presentation, more than enough to keep any attendee happy, the lecture will focus on the qualitative significance of the mathematics rather than dry derivations. Liberal use of example SAR images and other data products will be used to illustrate the concepts discussed. The presentation will be given as four distinct modules, each based on (but enhanced from) presentations developed and given by the presenter in numerous non-public forums to government, military, industry, and academic groups. Biography: Dr. Armin Doerry is a Distinguished Member of Technical Staff in the ISR Mission Engineering Department of Sandia National Laboratories. He holds a Ph.D. in Electrical Engineering from the University of New Mexico. He has worked in numerous aspects of Synthetic Aperture Radar and other radar systems’ analysis, design, and fabrication since 1987, and continues to do so today.
He has taught Radar Signal Processing classes (and related topics) as an adjunct professor at the University of New Mexico, and has taught numerous seminars on SAR and other radar topics to government, military, industry, and academic groups.
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A-2 Introduction to Inverse Synthetic Aperture Radar Presented by Dr. Marco Martorella, University of Pisa, Italy Inverse Synthetic Aperture Radar (ISAR) is a technique used for reconstructing radar images of moving targets. Often, modern high-resolution radars implicitly offer the system requirements needed for implementing ISAR imaging. ISAR images can be obtained by means of a signal processing that can be enabled both on and off-line by using dedicated image formation algorithms. Automatic Target Recognition (ATR) systems are often based on the use of radar images because they provide a 2D electromagnetic map of the target reflectivity. Therefore, classification features that contain spatial information can be extracted and used to increase the performance of classifiers. The understanding of ISAR image formation is crucial for optimizing ATR systems that are based on such images. As a special offer, proof of registration for this tutorial will entitle attendees to a 40% discount on copies of Dr. Martorella’s new Inverse Synthetic Aperture Radar Imaging book (ref: https://sci.presswarehouse.com/Books/BookDetail.aspx?productID=369891) if purchased at the conference. Biography: Dr. Marco Martorella received his Laurea degree (Bachelor & Masters) in Telecommunication Engineering in 1999 (cum laude) and his PhD in Remote Sensing in 2003, both at the University of Pisa. He is now an Associate Professor at the Department of Information Engineering of the University of Pisa where he lectures “Fundamentals of Radar” and “Digital Communications” and an external Professor at the University of Cape Town where he lectures “High Resolution and Imaging Radar” within the “Masters in Radar and Electronic Defense”. He is a regular visiting Professor at the University of Adelaide and at the University of Queensland in Australia. He is author of more than a hundred international journal and conference papers and three book chapters. He has presented several tutorials at international radar conferences including tutorials on Inverse Synthetic Aperture Radar and IEEE radar conferences and organized a special issue on Inverse Synthetic Aperture Radar for the Journal of Applied Signal Processing. He is a member of the IET Radar Sonar and Navigation Editorial Board, a senior member of the IEEE and a member of AFCEA. He is also chair of the NATO SET-196 on “Multichannel/Multistatic radar imaging of non-cooperative targets”. He has been recipient of the 2008 Italy-Australia Award for young researchers, the 2010 Best Reviewer for the IEEE GRSL and the IEEE 2013 Fred Nathanson Memorial Radar Award. His research interests are mainly in the field of radar imaging, including passive, multichannel, multistatic and polarimetric radar imaging.
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A-3 Radar Systems Prototyping Presented by Dr. Lorenzo Lo Monte, University of Dayton, USA Whether you are a student seeking real data to prove your Ph.D. thesis, or a researcher planning for experimentation in your grant proposal, or a system engineer in need of a radar prototype to demonstrate your innovative idea to a customer, you will be faced with prototyping a radar system with limited time and budget. There exist many books and tutorials on basic and advanced signal processing, but little is found on how to build your radar prototype that can support and run these algorithms. This tutorial will provide you with practical skills and techniques needed to build your advanced radar prototype. The focus is not on how devices/algorithms work, but on how to relate the choice of microwave devices and signal processing algorithms to the desired radar specifications. You will learn how to interpret datasheets and how to interface with vendors. The course will end with a step-by-step MIMO radar design example, starting from the requirements and ending with a schematic and bill of material. All participants will also receive a free consultation to their current radar system design until their project is completed. Biography: Dr. Lo Monte has more than ten years of applied RF, EW, and radar system design experience, from small companies (PCTEL), consulting (Patina) and non-profit institutions (UDRI) to large defense contractors worldwide (Rheinmetall A.G., General Dynamics) and government research agencies (U.S. Air Force Research Laboratory, NATO). He is also an associate professor at the University of Dayton, where he teaches the courses “Introduction to Radar,” “Modern Radar Signal Processing,” “Radar/RF Systems Design,” “Introduction to Electronic Warfare,” and the Keysight-sponsored “RFM µW Measurement Laboratory”. Throughout his career, he gained experience in HF-to-W Band radar systems prototyping, including monopulse radar, radar transmitters, surveillance radars, multistatic ISAR and tomography, MIMO radar, GPR, passive HF/VHF/UHF systems, radars for IED/EFP detection, ballistic missile defense radar, resonance exploitation, RF/IR integration, DRFM, electronic attack, waveform design, instrumentation control, antenna/microwave component design, computational electromagnetics, inverse scattering, digital signal processing, electrical/mechanical CAD design. He has been a visiting scholar to Rensselaer Polytechnic Institute and is currently in the adjunct faculty at the University College London. Academically, Dr. Lo Monte has published over 50 peer reviewed journal and conference papers and two book chapters. He is also the director of the Mumma Radar Laboratory, which hosts the first tomographic and distributed sensing chamber worldwide. Dr. Lo Monte has been very active in the IEEE community, serving as vice chair of the IEEE Dayton Section, as an associate editor of the IEEE Sensors Journal and technical reviewer for 11 different IEEE societies. He volunteered as co-chair, technical panel member, steering committee member, judge, special session organizer, and session chair in many transnational conferences.
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A-4 Multi-target Tracking Systems Presented by Donna F. Smith, Lockheed Martin, USA
Multi-target tracking is currently a hot topic, explicitly called out in the scope of the conference. Target tracking algorithms have been evolving for the last 50 years, most notably with the development of the probability hypothesis density (PHD) algorithm, with its flurry of recent papers. Researchers are achieving significant new progress building on the fundamentals of tracking. This tutorial will ground the students in the fundamentals of multi- target tracking, with emphasize on the issues faced with designing a tracking system to meet requirements, and identifying where new technology is desirable for improving system capabilities. The presenter has 29 years of experience in designing and implementing tracking systems, and she will be filling the tutorial with her insights into what happens when design meets reality. This presentation is built upon the Lockheed Martin Top Gun program, used to train LM practicing engineers in the art of designing radar tracking systems. Biography: Dr. Donna Smith has been designing, simulating, and implementing radar target trackers for the last 29 years. She obtained her MSEE at the University of California at Irvine, with a focus on signal processing, and worked with Sam Blackman (author of Design and Analysis of Modern Tracking Systems) at her first job at Hughes Aircraft Company in El Segundo, CA. After extensive early experience developing tracking algorithms for fighter jets, Donna accepted a job at Lockheed Martin’s Mission Systems and Training (MST) facility in Moorestown, NJ. Since then, she has led the design and implementation of tracking systems for Lockheed Martin’s DD(X) Volume Search Radar (VSR), Medium Extended Air Defense System (MEADS) surveillance radar, Three-Dimensional Expeditionary Long-Range (3DELRR) radar prototype, and most recently Space Fence.
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A-5 Surface Moving Target Indication (SMTI) Presented by Dr. William L. Melvin, Georgia Tech Research Institute, USA Surface moving target indication (SMTI) involves searching the Earth’s surface for moving objects using a dedicated radar mode. SMTI radar detects, locates, and discriminates surface vehicles and other objects against rural, suburban, maritime, and urban settings. While SMTI radar can be deployed in a number of ways, this tutorial comprehensively considers airborne or satellite-borne SMTI radar design and operation. The presenter has successfully provided tutorials at past IEEE radar conferences on a number of topics, including STAP, space-based radar, MIMO radar, radar signal processing, and knowledge-aided signal processing. This tutorial leverages the presenter’s chapter on SMTI in Principles of Modern Radar: Radar Applications (Chapter 9), as well as other materials he has developed over an extended period of time. Biography: Dr. William Melvin is Deputy Director for Research at the Georgia Tech Research Institute (GTRI), Director of the Sensors and Intelligent Systems Directorate at GTRI, a University System of Georgia Regents’ Researcher, and an Adjunct Professor in Georgia Tech’s Electrical and Computer Engineering Department. His research interests include all aspects of sensor technology development, including radar systems engineering, mode development, and signal processing. He has authored numerous papers in his areas of expertise and holds three US patents on adaptive sensor technology. He is the co-editor of two of the three volumes of the popular Principles of Modern Radar book series. Among his distinctions, Dr. Melvin is the recipient of the 2014 IEEE Warren White Award, 2006 IEEE AESS Young Engineer of the Year Award, the 2003 US Air Force Research Laboratory Reservist of the Year Award, and the 2002 US Air Force Materiel Command Engineering and Technical Management Reservist of the Year Award. He was chosen as an IEEE Fellow for his contributions to adaptive radar technology, and is also a Fellow of the Military Sensing Symposium (MSS). Also, he is a member of the Board on Army Science and Technology, served on the Air Force Studies Board on Developmental Planning organized through the National Academy of Science, and has served on other committees sponsored by the National Research Council. Dr. Melvin received the Ph.D. in Electrical Engineering from Lehigh University, as well as the MSEE and BSEE degrees (with high honors) from this same institution, respectively.
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A-6 The ABCs of Radar System Engineering and Knowledge Transfer Presented by Ingar T. Blosfelds, Lockheed Martin, USA Radar Systems Engineering, in many ways, can be more of an art than a science. For younger engineers, picking up the skill sets necessary for a successful career in radar systems is not always readily available. This session is designed to provide a practical tool set for engineers entering the radar profession. It presents the fundamentals and goes through a number of problems to cover some of the necessary as well as non-intuitive aspects of radar engineering. Knowledge transfer is a critical task for radar houses to ensure success with the next generation. Capturing the extensive technical and program information held with the senior workforce is almost mandatory. A board of technical advisors can devise curriculum such that it’s current, important to the lines of business, and that the format of lectures is uniform in the level of content and the amount of information for better understanding and retention. Within the radar systems engineering realm, a graduate-level understanding is a worthy goal but providing a working knowledge for new hires and non-radar engineers can be just as relevant. This session is a subset of lectures on radar systems engineering fundamentals and will provide an introduction to radar systems, range equation and radar signal processing techniques as well as the nature of physical observables and propagators, the effects of the propagation medium on sensor performance, the relationship between signals and noise, and the characteristics of critical sensor functions (including detection and tracking). Biography: Ingar Blosfelds received BS in Electrical Engineering and BS Computer Science degrees from Duke University in 1983 and the Juris Doctor degree from Rutgers University in 1994 and did his MS in Electrical Engineering degree work at Drexel University. He joined Lockheed Martin in 1983 and continues to work as a radar and weapons systems engineer in their Moorestown, NJ facility. He was selected as a Lockheed Martin Fellow in 2006 and cofounded the company’s Top Gun engineering training program and is the lead instructor and Curriculum Director. He is also an adjunct professor at Rowan University, teaching radar systems engineering in their graduate school.
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B-1 Bistatic and Multistatic Radar Imaging Presented by Dr. Marco Martorella, University of Pisa, Italy and Dr. Brian Rigling, Wright State University, USA SAR/ISAR images have been largely used for earth observation, surveillance, classification and recognition of targets of interest. The effectiveness of such systems may be limited by a number of factors, such as poor resolution, shadowing effects, interference, etc. Moreover, both SAR and ISAR images are to be considered as two-dimensional maps of the real three-dimensional object. Therefore, a single sensor may produce only a two-dimensional image where its image projection plane (IPP) is defined by the system-target geometry. Such a mapping typically creates a problem for the image interpretation, as the target image is only a projection of it onto a plane. In addition to this, monostatic SAR/ISAR imaging systems are typically quite vulnerable to intentional jammers as the sensor can be easily detected and located by an electronic countermeasure (ECM) system. Bistatic SAR/ISAR systems can overcome such a problem as the receiver can act covertly due to the fact that it is not easily detectable by an ECM system, whereas multistatic SAR/ISAR may push forward the system limits both in terms of resolution and image interpretation. Biographies: Dr. Marco Martorella received his Laurea degree (Bachelor & Masters) in Telecommunication Engineering in 1999 (cum laude) and his PhD in Remote Sensing in 2003, both at the University of Pisa. He is now an Associate Professor at the Department of Information Engineering of the University of Pisa where he lectures “Fundamentals of Radar” and “Digital Communications” and an external Professor at the University of Cape Town where he lectures “High Resolution and Imaging Radar” within the “Masters in Radar and Electronic Defence”. He is a regular visiting Professor at the University of Adelaide and at the University of Queensland in Australia. He is author of about 150 international journal and conference papers, three book chapters and a book entitled “Inverse Synthetic Aperture Radar Imaging: Principles, Algorithms and Applications”. He has presented several tutorials at international radar conferences and organized a special issue on Inverse Synthetic Aperture Radar for the Journal of Applied Signal Processing. He is a member of the IET Radar Sonar and Navigation Editorial Board, a senior member of the IEEE and a member of AFCEA. He is also chair of the NATO SET-196 on “Multichannel/Multistatic radar imaging of non-cooperative targets”. He has been recipient of the 2008 Italy-Australia Award for young researchers, the 2010 Best Reviewer for the IEEE GRSL and the IEEE 2013 Fred Nathanson Memorial Radar Award. His research interests are mainly in the field of radar imaging, including passive, multichannel, multistatic and polarimetric radar imaging. Dr. Brian Rigling received the B.S. degree in physics-computer science from the University of Dayton in 1998 and received the M.S. and Ph.D. degrees in electrical engineering from The Ohio State University in 2000 and 2003, respectively. From 2000 to 2004 he was a radar systems engineer for Northrop Grumman Electronic Systems in Baltimore, Maryland. Since July 2004, Dr. Rigling has been with the Department of Electrical Engineering, Wright State University, and was promoted to associate professor in 2009, professor in 2013, and department chair in 2014. For 2010, he was employed at Science Applications International Corporation as a Chief
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Scientist while on leave from Wright State University. He has authored chapters for 3 textbooks and has authored more than eighty conference and journal papers. In 2007, Dr. Rigling authored the chapter on Bistatic Synthetic Aperture Radar for the book Advances in Bistatic Radar, edited by Nicholas Willis and Hugh Griffiths. Dr. Rigling has served on the IEEE Radar Systems Panel since 2009, and has been an associate editor for IEEE Transactions on Image Processing. He was the General Chair for the 2014 IEEE Radar Conference.
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B-2 Jamming, Electromagnetic Interference, and Clutter Impacts on Future Radars Presented by Jude Giampaolo, Lockheed Martin, USA and Fotis Koubiadis, Lockheed Martin, USA This tutorial will comprehensively discuss next generation digital array radar design considerations and how they impact radar performance operationally. This is crucial for the design and development of many future DoD and commercial radars because: •
Radar clutter, jamming, and electromagnetic interference environments are evolving and becoming more challenging and
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Radar products are transitioning from traditional analog array architectures to digital array architectures that take advantage of cost-effective technology components.
This tutorial will include detailed discussions of the trades between digital array technology components, array architectures, and radar system concepts & techniques needed to most effectively meet next generation radar operational needs. In order to enable Lockheed Martin to respond to these evolving radar customer needs, the presenters have provided similar digital array tutorials to multiple disciplines of engineers across the Lockheed Martin Corporation (including radar systems, hardware, and software architects and designers). Biographies: Jude Giampaolo is a Lead Member of Engineering Staff at LM Mission Systems and Training in Moorestown, NJ and is currently the Lead Radar Analyst for the Space Fence Radar. He has over 16 years of experience in systems and subsystems design and development of ship and ground-based phased array radar, and over 13 years of experience in development of digital array radar. His experience spans digital array architecture and hardware design as well as algorithm development to mitigate the effects of complex interference environments during radar operations. He has authored various papers and has given multiple tutorials across the Lockheed Martin Corporation in the area of active, digital array radar design and adaptive processing. He holds a BS in electrical engineering from Case Western Reserve University and an MS in electrical engineering from Pennsylvania State University. Fotis Koubiadis is a Lockheed Martin Fellow and Certified Advanced Systems Architect at LM Mission Systems and Training (MST) in Moorestown, NJ. He has over 21 years of experience in detailed systems, subsystems, and technology design and development of ship and ground-based phased array radar. This includes over 13 years of experience in digital array radar developments, demonstrations and applications. His experience spans digital array architecture and hardware design as well as algorithm development to mitigate the effects of complex interference environments during radar operations. He has authored various papers, has a patent and two additional patents pending, and has given multiple tutorials across the Lockheed Martin Corporation in the area of active, digital array radar design. His work in this area has been recognized with a corporate-level Nova award (LM’s highest award) and multiple Evening of Stars awards (LM MST’s highest award). He holds a BS in electrical engineering from Cornell University and an MS in electrical engineering from Drexel University.
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B-3 Re-thinking the Matched Filter for Radar Presented by John Garnham, University College London, UK It is well known that the Matched Filter maximizes the SNR, and that SNR is the sufficient statistic to predict Detection performance. Commonly, Harry Van Trees seminal work “Detection, estimation, and Modulation Theory – Part 1” is referenced. Modern radar often does much more than detection however. Additionally, some of the assumptions and constraints described by Van Trees are broken in modern radar. Personal discussions with Dr. Van Trees in the early 2000’s made it clear that he thought that his work was being misunderstood, and his conclusions on the Matched Filter optimality documented in his book were not including all of the assumptions and constraints and were therefore being mis-applied. His quote to me was “I hate it when people mis-quote me”. This tutorial will attempt to faithfully represent his work, including all the assumptions and constraints that make the Matched Filter not necessarily ‘optimum’ in a practical sense for modern radar, although it clearly works quite well. Other ideas on the application of parameter estimation approaches will be described and how they relate to the work of Van Trees, and under what conditions they may be superior to the Matched Filter and its variants (e.g multi-dimensional, weighted, etc.) “Our goal with respect to the non-Gaussian problem is modest. First, it is to leave the user with an awareness that in any given situation we must verify that the Gaussian model is either valid or an adequate approximation to obtain useful results. Second, if the Gaussian model does not hold, we should be willing to try to solve the actual problem (even approximately) and to not retain the Gaussian solution because of its neatness.” Van Trees Vol 1, pg 377 Biography: Dr. John Garnham is a practicing Research and Development Engineer with 30 years’ experience in space systems and sensors (optical and radar), presently working for Applied Technology Associates in Albuquerque NM. He spent 7 years active duty in the US Air Force and retired as a Major from the Air Force Reserves. He has a Bachelor’s degree in Physics and Math from Syracuse University, and is presently a graduate student in a research degree program at University College London (UK) part-time, working from home (US). He was working in Waveform Diversity before it had a name, using parameter estimation to process radar data, in the late 90’s. Mr. Garnham has researched multiple applications of parameter estimation and information theory concepts applied to radar signal processing to maximize performance. He previously developed with his partner Dr. Jaime Roman a pulse-pulse adaptive waveform approach that exploited Mutual Information criteria to adapt the transmitted waveform in time to maximize the information the radar collected – increasing performance, under a contract with the Air Force Research Lab Sensor’s Directorate in the early 2000’s. Mr. Garnham was also the Chief Scientist for an Air Force Research Lab distributed formation flying satellite radar concept and technology development program in the late 90’s to early 2000’s.
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B-4 Noise Radar - New Challenges in SISO and MIMO Radars Presented by Dr. Krzysztof S. Kulpa, Warsaw University of Technology, Poland The tutorial will present the concept of continues wave radar emitting noise or pseudo- noise waveform. Noise waveforms have significant advantages over the classical radar waveforms, as they do not have range nor Doppler ambiguities and can be used in dense electromagnetic environment without significant interferences with other devices using this some spectrum. However, noise radars suffer from a near-far problem, so it would be difficult to design long range CW noise radar. The signal processing in noise radar is more complicated than in classical radar since all targets echoes are received simultaneously and have to be resolved. Since the targets are illuminated for long times, it is not only possible to detect and track targets using noise radar but also to perform non-cooperative identification using micro-Doppler analyses and to create ISAR images of the targets. To increase the power density on the target and provide spatial diversity of the illuminating signal, noise radar can be used in MIMO configurations using co-located as well as spatially separated antennas. Prof. Kulpa has given several tutorials in the past on noise radar technology. The last was held during the EURAD 2014 conference, but the similarity will be less than 25%. Biography: Dr. Krzysztof S. Kulpa received his M. Sc., Ph.D. and Dr Sc. degrees from the Department of Electronic Engineering, Warsaw University of Technology (WUT) in 1982, 1987 and 2009 respectively. From 1985 to 1988 he worked at the Institute of Electronic Fundamentals, WUT, and in the years 1988-1990 he was Associate Professor at the Electrical Department of the Technical University of Białystok. In the period 1990-2005 he worked as a scientific consultant in WZR RAWAR. Since 1990 he has been an Associate Professor at the Institute of Electronic Systems (WUT). He is now the head the Radar Technology Research Group at WUT. Since 2011 he has held the position of Scientific Director of the Defense and Security Research Center of the Warsaw University of Technology. In 2014 he obtained the title of State Professor, granted by the President of Poland. His research interests are in the digital signal processing area, particularly radar signal processing. His research covers noise and passive radar signal processing, radar imaging, detection and tracking. A significant part of his activity has been devoted to application problems. The results of his work have been implemented in several radars produced by the Polish radar industry, and he was involved in the creation of the first Polish SAR radar. He has managed several research projects, and for the past 15 years, his main area of research has been in airborne passive radars.
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B-5 Adaptive Array Antennas Presented by Dr. Randy Haupt, Colorado School of Mines, USA and Dr. Mark Leifer, Ball Aerospace & Technologies Corp., USA Adaptive arrays improve the reception of desired signals in the presence of interference and jamming signals in radar systems. They are designed to complement other interference suppression techniques, such as low sidelobe antennas, spread-spectrum techniques, and high directivity. Modern adaptive antenna systems can automatically sense the presence of interference and suppress it, while maintaining desired signal reception. Many techniques are available with differing levels of complexity and performance, but most seek to optimize SINR, the ratio of signal to (interference plus noise). Attendees will survey these techniques and learn the practical and mathematical aspects of their use. This course will begin by reviewing the basics of antenna arrays and beamforming. We then study classic covariance matrix-based approaches, including the LMS gradient-based algorithm and the LS and MVDR block processing algorithms. The remaining portion of the course covers specialty techniques useful for large arrays, such as sidelobe cancellation and partially adaptive arrays, as well as nondigital techniques such as reconfigurable arrays. Guidance on which algorithms are best in specific applications will be provided. Versions of this course have been presented at five previous conferences. Biographies: Dr. Prof. Randy L. Haupt received the BSEE from the USAF Academy (1978), the MS in Engineering Management from Western New England College (1982), the MSEE from Northeastern University (1983), and the PhD in EE from The University of Michigan (1987). He is Professor of Electrical Engineering and Computer Science at the Colorado School of Mines and was an RF Staff Consultant at Ball Aerospace & Technologies, Corp., a Senior Scientist and Department Head at the Applied Research Laboratory of Penn State, Professor and Department Head of ECE at Utah State, Professor and Chair of EE at the University of Nevada Reno, and Professor of EE at the USAF Academy. He was a project engineer for the OTH-B radar and a research antenna engineer for Rome Air Development Center early in his career. Dr. Haupt's research interests and expertise spans a wide range of topics in electromagnetics that include theoretical, numerical, and experimental projects. He is co-author of the books Practical Genetic Algorithms, 2nd edition, John Wiley & Sons, 2004, Genetic Algorithms in Electromagnetics, John Wiley & Sons, 2007, and Introduction to Adaptive Antennas, SciTech, 2010, as well as author of Antenna Arrays - a Computation Approach, John Wiley & Sons, 2010. Dr. Haupt was the Federal Engineer of the Year in 1993 and is a Fellow of the IEEE and Applied Computational Electromagnetics Society (ACES). He is a member of the IEEE Antenna Standards Committee and served as an Associate Editor for the "Ethically Speaking" column in the IEEE AP-S Magazine. He has presented this tutorial at five prior conferences, both alone and with Dr. Leifer. Dr. Mark Leifer is an internal Staff Consultant at Ball Aerospace, where he works on radar, communications and EW systems. He received his B.S. in Physics and Ph.D. in Applied Physics from Stanford University. He was a Fellow in Cardiology at the Stanford Medical School where
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he worked on novel instruments for cardiovascular diagnosis, and spent a year in Italy as a Visiting Professor of Physics at the University of Rome. He subsequently spent many years designing Magnetic Resonance Imagers at Siemens and Varian, where he was the system architect and chief hardware designer for the world’s first 4T high-field human MRI product. He later worked on adaptive beamforming and “Smart Antenna” systems for telecommunications applications, first at ArrayComm in San Jose and then at Ericsson Wireless in Colorado. His patented spatial null-deepening algorithm is installed in more than 300,000 cellular base stations world-wide. At Ball Aerospace, Dr. Leifer resides in the Phased Array and RF Technology group, where his work includes algorithm development for both spatially and temporally adaptive systems. He has co-presented this tutorial with Prof. Haupt at previous IEEE Radar and IEEE Antennas and Propagation conferences.
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B-6 Cognitive Processing for Radar Systems: From Theory to Practice Presented by Dr. Graeme E. Smith, The Ohio State University, USA and Dr. Kristine L. Bell, Metron Inc., USA The tutorial provides an introduction to cognitive processing for radar systems. The emphasis is placed on how the emerging theories can be taken and applied in practice. Essentially, an attempt is made to answer the question: How does one build a cognitive radar? The meaning of cognition, from an engineering perspective, is discussed and a case is made as to why future radar system need to be cognitive. From this base position, techniques by which cognitive- like algorithms can be developed are discussed and the role of bioinspired signal processing considered. A mathematically rigorous, generalized cognitive framework will be introduced and examples of its use in experimental tests given. Further examples will be provided of how cognition can be, and in some cases already is, used in radar processing. The tutorial will close with remarks on how the radar engineering community can move forwards with cognitive processing as a new part of its design toolkit. Dr Smith has given half-day tutorials at the International Radar Conference and as part of The Ohio State University’s CERF activity. For the latter, he first gave the tutorial at OSU and was then invited to give it onsite at Raytheon Tucson, AZ. Dr Bell has given half- day tutorials on Bayesian Multiple Target Tracking at the 2015 FUSION and OCEANS conferences, and on Bayesian Bounds at the 2007 ICASSP Conference. Each of these tutorials had the highest registration numbers at their respective conferences. Biographies: Dr. Graeme E. Smith is a Research Scientist at The Ohio State University and is a visiting scholar at University College London. His pertinent research interests include: cognitive/fully adaptive radar processing; the role of cognition in radar resources management; echoic flow for radar and sonar; passive bistatic and multistatic radar systems; bistatic/MIMO clutter; radar micro- Doppler signatures; target recognition/classification; and coherent-onreceive radars for sea surface monitoring. His primary focus is research into how radar processing can be improved through mankind’s understanding of cognitive processes. In essence he seeks to answer the question of how the abilities of natural, cognitive echolocating sensors, that can be so successful that certain species rely on them for their survival, can be achieved in man- made sensors. Before joining the team at The Ohio State University, Dr Smith worked at Villanova University where his research focused on through-the-wall radar imaging. Prior to this he completed his Ph.D. and first post-doctoral position at University College London. Between 1999 and 2004 he worked as a lead systems engineer for BAE SYSTEM developing radar warning receivers. Dr. Smith is a member of the IET and a Senior Member of the IEEE. Dr. Kristine L. Bell is a Senior Scientist at Metron, Inc. and also holds an Affiliate Faculty position in the Statistics Department at George Mason University (GMU). From 1996- 2009, Dr. Bell was an Associate/Assistant Professor in the Statistics Department and C4I Center at GMU. During this time, she was also a visiting researcher at the Army Research Laboratory and the Naval Research Laboratory. She received the B.S. in Electrical Engineering from Rice
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University in 1985, and the M.S. in Electrical Engineering and Ph.D. in Information Technology from GMU in 1990 and 1995. Her technical expertise is in the area of statistical signal processing for source localization and tracking with applications in radar, sonar, aeroacoustics, and satellite communications. Her current research interests include cognitive sensing, processing, and sensor fusion. She is a co-author (with L. Stone, R. Streit, and T. Corwin) of the book Bayesian Multiple Target Tracking, 2nd edition, co-author (with H. Van Trees and Z. Tian) of the book Detection, Estimation, and Modulation Theory, Part I, 2nd edition, and co-editor (with H. VanTrees) of the book Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking. In 2009, she received the George Mason University Volgenau School of Engineering Outstanding Alumnus Award. She is a Fellow of the IEEE.
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C-1 Radar Sea Clutter - Modeling and Applications Presented by Dr. Simon Watts, SW Research Consultancy, UK and Dr. Luke Rosenberg, Defense Science and Technology Group, Australia This tutorial will provide an introduction to the modeling of radar sea clutter and its application to modern maritime radar design. Maritime radars operate in a challenging environment and the design of radars that can reliably detect small targets on the sea surface remains at the forefront of radar research. A major part of the challenge is the need to discriminate between returns from targets and those from the sea surface, i.e. the sea clutter. In order to design better detection systems, predict performance, test systems with simulated data and assess operational performance, considerable attention is paid to the mathematical modeling of sea clutter. This tutorial will provide the background to this modeling and introduce the latest research results in this still- evolving field. Simon Watts has presented tutorials on radar sea clutter and modeling at over 12 radar conferences since 1997. Luke Rosenberg has presented related material at two radar conferences in 2015. Biographies: Dr. Simon Watts graduated from the University of Oxford in 1971, obtained an MSc and DSc from the University of Birmingham in 1972 and 2013, respectively, and a PhD from the CNAA in 1987. He was deputy Scientific Director and Technical Fellow in Thales UK until 2013 and is a Visiting Professor in the department of Electronic and Electrical Engineering at University College London. He joined Thales (then EMI Electronics) in 1967 and since then has worked on a wide range of radar and EW projects, with a particular research interest in maritime radar and sea clutter. He is author and co-author of over 60 journal and conference papers, a book on sea clutter and several patents. He was chairman of the international radar conference RADAR-97 in Edinburgh UK. Professor Watts received the IEE JJ Thomson Premium Award in 1987 and the IEE Mountbatten Premium Award in 1991. He serves on the IEEE AESS Radar Systems Panel, is an Associate Editor for Radar for the IEEE Transactions AES and a member of the Editorial Board of IET Radar, Sonar & Navigation. He was appointed MBE in 1996 for services to the UK defense industry and is a Fellow of the Royal Academy of Engineering, Fellow of the IET, Fellow of the IMA and Fellow of the IEEE. Prof. Simon Watts also teaches 10 hours per year at University of Surrey on their Advanced Radar Technology short course, presenting on clutter, CFAR systems, MTI/MTD, EP & EA, SAR & ISAR and space-based radar.
Dr. Luke Rosenberg received his Bachelor of Electrical and Electronic Engineering in 1999, Masters in Signal and Information Processing in 2001 and PhD in 2006 all from the University of Adelaide in Australia. In 2000 he joined the Defense Science and Technology Organization as an RF engineer, then worked as a research scientist in the imaging radar systems group and recently in the maritime radar group. He is also an adjunct senior lecturer at the University of Adelaide and was recently on attachment at the US Naval Research Laboratory working on algorithms for focusing moving scatterers in synthetic aperture radar (SAR) imagery.
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His interests are in the areas of radar signal processing and the modelling and simulation of radar backscatter. In particular, his work has covered radar image formation, adaptive filtering, detection theory, and radar and clutter modelling. He is an active member of the SET- 185 NATO panel on high grazing angle sea-clutter and has published over 60 conference, journal and technical reports. He is a senior member of the IEEE.
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C-2 Advances in Applications of Radar Micro-Doppler Signatures Presented by Dr. Victor C. Chen, Naval Research Lab (retired), USA and Dr. Shobha S. Ram, Indraprastha Institute of Information Technology, India Radar micro-Doppler signature represents a distinctive characteristic of the intricate frequency modulations generated from a target with micro motions, which provides unique complementary target features. This tutorial is to provide attendees a working knowledge of radar micro-Doppler signatures. Since 2011, Dr. Chen has given a number of tutorials in radar relevant conferences to present introduction on radar micro-Doppler concept and basic applications. This tutorial will concentrate on the current advances of radar micro-Doppler signatures with on-site demonstrations using MATLAB tools and real Micro-Doppler Radar Equipment. We first briefly review the development of the concept, basic principles and applications of radar micro-Doppler signatures. Then, we introduce and demonstrate with MATLAB tool to show how to reveal micro-Doppler effect in radar, how to set up models of micro moved targets, and how to extract and analyze micro-Doppler signatures. The main part of the tutorial is to introduce the state-of-the-art in applications of radar micro-Doppler signatures to surveillance, security, industry, and medical monitoring. An on-site real micro- Doppler radar demonstration will be conducted in the presentation. Biographies: Dr. Victor C. Chen, Fellow of the IEEE, is internationally recognized for his work on micro-Doppler signatures and time-frequency analysis. He received a Ph.D. in Electrical Engineering from Case Western Reserve University, Cleveland, Ohio. He worked for 20 years in the Radar Division, US Naval Research Laboratory while he collaborated with international participants for US Navy S&T projects, served as US Panel Member of TTCP (The Technical Cooperation Program) and NATO Technical Group working on time-frequency processing for ISAR imaging, non-cooperative target identification, radar detection and identification of small vessels, vehicles, and dismounts. In 2001, he was invited by the Norwegian Defense Research Establishment to give a series of seminars on time-frequency applications to radar. He served as a Technical Program Committee Member and Session Chair for IEEE, SPIE, and other conferences and also served as a guest editor for several journals. He dedicated 6 years to serve as an Associate Editor for IEEE Transactions on AES (Aerospace and Electronic Systems) for radar systems. After retired from NRL in 2010, he became a consultant, contractor to DoD, and consultant to industries. Currently he becomes the Technical Director, Ancortek Inc, Fairfax, V A, U.S.A. He has published more than 150 papers and articles in books, chapters in books, journals and proceedings including books: The Micro-Doppler Effect in Radar authored in 2011 and Radar Micro-Doppler Signatures - Processing and Applications edited in 2014. Dr. Shobha Sundar Ram received her B.Tech. degree in electronic and communication engineering from University of Madras in 2004, and her M.S and Ph.D. degrees in electrical engineering from University of Texas at Austin, USA in 2006 and 2009, respectively. She is presently an Assistant Professor at Indraprastha Institute of Information Technology, New Delhi. Dr. Ram’s principal areas of research are in the conceptualization, modeling, design and development of electromagnetic sensors. In particular, she has focused on developing viable
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solutions for through-wall radar sensing of humans. Her work has been published in journal publications such as IEEE Aerospace and Electronic Systems, IEEE Geoscience and Remote Sensing, IEEE Antennas and Wave Propagation, IET Electronic Letters and Journal of Franklin Institute. She has actively participated in several conferences such as IEEE Radar Conference and IEEE Antennas and Propagation Society International Symposium. She has won two best paper awards at the student paper competitions at the IEEE Radar Conference in Rome, Italy in 2008 and in San Diego, USA in 2009. She was awarded the Continuing Fellowship by the University of Texas at Austin for the academic year 2008-2009 for outstanding academic and research achievements. Her research is currently funded by DST Inspire fellowship award for faculty. Dr. Ram has 3.5 years of work experience as a Research Scientist in Baker Hughes Inc. in Houston Texas. During her stint at Baker Hughes Inc., Dr. Ram was instrumental in the conceptualization, modeling, design and testing of low frequency narrow and broadband antennas for sensing formation resistivity for hydrocarbon exploration. Her work in this area resulted in two patent applications.
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C-3 Phased Array Radar and Digital Beam Forming: Basics and Breakthroughs Presented by Dr. Eli Brookner, Raytheon Co. (retired), USA Array Basics: Electronic scanning, embedded element gain, time delay steering, element types, array factor, u-v space, errors, mutual coupling, feeds; Digital Beam Forming (DBF); Grating lobes (GL) and reduction using overlapped subarrays; limited scanning; Recent Developments and Breakthroughs: Systems: 3, 4, 6 face “Aegis” systems. Patriot now has GaN AESA; S/X-band AMDR provides 30 times the sensitivity and number of tracks as SPY1D(V); Low Cost Packaging: Using COTS, PCBs; Extreme MMIC: 32 element 60 GHz T/R array on chip; Digital Beam Forming (DBF): A/D for every element; Materials: GaN can now put 5X to 10X the power of GaAs in same footprint, 38% less costly, 100 million hour MTBF ; Metamaterial Antennas: $1K 20 GHz and 30 GHz AESAs; Very Low Cost Systems: Cars radar costing < $100, future few $’s; MEMS: Phase shifters; MEMS Piezoelectric Material = piezoMEMS: For flying insect robots; Printed Electronics: Low cost 1.6 GHz (goal 2.4 GHz) diodes printed; Electrical and Optical Signals on Same Chip; IR transparent in silicon; Graphene and Carbon Nanotube (CNT): Potential for Terahertz transistor clock speeds; Revolutionary 3-D Micromachining; Superconductivity; Biodegradable Arrays of Transistors or LEDs: Imbedded for detecting cancer or low glucose; Quantum Radar: See stealth targets. Biography: Dr. Eli Brookner: BEE: The City College of the City of New York, ’53, MEE and DrSc: Columbia University ’55 and ’62. He worked at Raytheon Co. from 1962 until 2014 when he retired. There he was a Principal Engineering Fellow and worked on ASDE-X airport radar, ASTOR Air Surveillance Radar, RADARSAT II, Affordable Ground Based Radar (AGBR), major Space Based Radar programs, NAVSPASUR S-Band upgrade, COBRA DANE, PAVE PAWS, Missile Site Radar (MSR), COBRA JUDY Replacement, THAAD, Brazilian SIVAM, SPY-3, Patriot, BMEWS, UEWR, Surveillance Radar Program (SRP), Pathfinder marine radar, Long Range Radar (upgrade for >70 ATC ARSRs), COBRA DANE Upgrade, AMDR, Space Fence, 3DELRR, FAA NexGen ATC radar program. Prior to Raytheon he worked on radar at Columbia Un. Electronics Research Lab. (now RRI), Nicolet and Rome AF Lab. Received IEEE 2006 Dennis J. Picard Medal for Radar Technology & Application “For Pioneering Contributions to Phased Array Radar System Designs, to Radar Signal Processing Designs, and to Continuing Education Programs for Radar Engineers”; IEEE ’03 Warren White Award; Journal of the Franklin Institute Premium Award for best paper award for 1966; IEEE Wheeler Prize for Best Applications Paper for 1998. Fellow of IEEE, AIAA, MSS. Member of the National Academies Panel on Sensors & Electron Devices for Review of Army Research Lab. Sensors & Electron Devices Directorate (SEDD). Published four books: Tracking and Kalman Filtering Made Easy (1998), John Wiley and Sons, Inc.; Practical Phased Array Antenna Systems (1991), Aspects of Modern Radar (1988), and Radar Technology (1977), Artech House. Gave 150+ tutorial courses on Radar, Phased Arrays and Tracking around the world (25 countries). Over 10,000 attended these tutorial courses. Banquet/keynote speaker twelve times. >230 papers, talks and correspondences, >100 invited. 6 paper reprinted in Books of Reprints (one in 2 books). Contributed chapters to three books. 9 patents.
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C-4 SAR/ISAR Imaging Using Active & Passive Radars Presented by Dr. Piotr Samczynski, Warsaw University of Technology, Poland The main applications of the modern passive radars, known also as passive coherent location (PCL) radars or passive bistatic radars (PBR) are detecting, tracking and localizing air targets. Since this functionality of the PCL radars has already reached the stage of maturity, numerous researchers have begun to explore a potential for developing other applications of the passive radar system. One of such promising applications is a passive radar imaging using Synthetic Aperture Radar (SAR) and Inverse SAR (ISAR) techniques. In general, passive radars can use different types of sources to illuminate potential targets. Nowadays, the spectrum of the radiofrequency signals utilized by passive radars is very wide. A wide variety of existing passive receivers use commercial illuminators such as FM radio, DAB radio, DVB-T television, GSM mobile communication, WiFi communication, etc. All of these illuminators transmit signals using different analogue or digital modulation schemes. The other class of passive radars use non-cooperative transmitters as illuminators such as existing radars or their networks. Currently, these illuminators cover a very wide radio frequency spectrum from several hundred MHz up to the very high frequencies of several GHz. The different kinds of radars which can be used as illuminators of opportunity are also very wide ranging, including ground-based air traffic control radars and radars mounted to moving platforms on the ground, in the air or in space as well. This allows the use them as an illuminators of opportunity for passive receivers also in different applications including radar imaging using SAR/ISAR techniques. This tutorial will provide a short introduction to radar imaging and the introduction to passive radars, which includes a brief historical background, an overview and general principles of the passive bistatic radar technology as well as the current state of the developments of technology that use a variety of sources of illumination including commercial continuous wave transmitters (FM, DVB-T, GSM, etc.) and non-cooperative ground- and satellite-based pulse radars. Additionally, the general SAR/ISAR principles will be presented to provide a detailed background to the bistatic SAR/ISAR operations. The tutorial will present and analyze in detail the signal processing methods employed for passive radar imaging techniques. The majority of the course material will be dedicated to the passive SAR and ISAR techniques for mapping of ground objects and imaging air and ground moving targets. Biography: Dr Piotr Samczynski received his B.Sc. and M.Sc. degrees in electronics and Ph.D and D.Sc. degrees in telecommunications all from the Warsaw University of Technology (WUT), Warsaw, Poland in 2004, 2005, 2010 and 2013 respectively. Since 2010, he has been the Assistant Professor at the WUT; and since 2014 – a member of the WUT’s Faculty of Electronics and Information Technology Council. Prior to this, he was a research assistant at the Przemyslowy Instytut Telekomunikacji S.A. (PIT S.A.) (2010-2005) and the head of PIT’s Radar Signal Processing Department (2010-2009).
Dr. Samczynski’s research interests are in the areas of radar signal processing, passive radar, synthetic aperture radar and digital signal processing. He is the author of over 140 scientific papers. Since 2003 he has been an active researcher in the field of radar signal processing, when as a B.Sc. student he was engaged in a development of the first Polish SAR. Nowadays, this
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SAR system developed with a significant contribution of Dr. Samczynski has been successfully used by the Polish Navy and Polish Border Guards. In 2007 he turned his research interest into passive coherent location (PCL) radars. He was involved in the developments in the various types of ground- based Passive Radar Demonstrators (PaRaDe) utilizing different bands (FM, DVB-T, GSM) of commercial transmitters as the illuminators of opportunity as well as on passive radars using non-cooperative ground- and satellite-based pulse radars as illuminators. Over the last few years Dr. Samczynski has also dedicated himself to research in passive SAR/ISAR imaging using commercial continues wave transmitters and pulse radars as the illuminators of opportunity. In 2012 he was responsible for organizing airborne passive radars trials using DVB-T transmitters as the illuminators of opportunity. As the result of this trials the first passive SAR image with resolution ca. 20m x 20m of the ground surface has been obtained. Moreover, in 2012, he published an example of real passive ISAR image of a fighter aircraft using the same DVB-T transmitter as an illuminator.
Dr Samczynski was involved in several projects for the European Research Agency (EDA), Polish National Centre for Research and Development (NCBiR) and Polish Ministry of Science and Higher Education (MiNSW), including the projects on SAR, ISAR and passive radars. In 2012-2015 he was a project manager of the national project for NCBiR entitled Micro Synthetic Aperture Radar for Ground Surface Monitoring – μSAR. As the result of this project high resolution SAR radar dedicated for UAV platforms has been developed and successfully tested in flights. Currently, at WUT he is a project manager of the SCOUT project entitled Multitech SeCurity system for intercOnnected space control groUnd staTions co-funded by the European Commission within the FP7 (2014-2017). He is a technical program committee member of several radar conferences including IRS (20122014), RADARCON (2013). He was the coordinator of the Signal Processing Symposium (SPS) conference series (2005-2011) and the Technical Program Chair of SPS (2013). Since 2009 he has been a part of several research task groups under the NATO subsidiary Science and Technology Organization, where he supports the research work in the fields of radar signal processing, modern passive and active radars architectures and noise radars.
Dr. Samczynski received the “Best Poster Presentation” award at the 2007 RADAR Conference, the “Student Paper” award at the 2008 RADAR Conference, the first and third European Microwave Association prizes, “Young Scientist Awards” at the MRRS 2008 and MRRS 2011 Symposia, “Recognition as a Finalist” in the 2010 IEEE Radar Conference Student Paper Competition, and the Polish Academy of Sciences Award for the best young scientist presentation at the 13th IRS Symposium in 2012. He received the third prize for the realization of the last project (ISAR/HiSAR radar) for the best research and development project in the area of defense given by Polish Ministry of Defence under the auspices of President of the Republic of Poland. As the researcher and the academic professor, Dr. Samczynski combines his teaching and theoretical research with the real applications. His main fields of the teaching have been signal processing, radar techniques and LabVIEW courses. Being also a devotee of LabVIEW programming, he has been a lecturer of the new course at the Faculty of Electronics and Information Technology, Warsaw University of Technology (since 2014), which he developed by himself: Digital Signal Processing Techniques using LabVIEW. Many times he was invited by the universities and research institutes to give talks on radar signal processing in active and passive radars.
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C-5 Bistatic Active and Passive Radars Presented by Dr. Hugh Griffiths, University College London, UK and Dr. Maria S. Greco, University of Pisa, Italy Bistatic radars, both passive and active, have been of interest since the earliest days of radar research and in recent years have enjoyed rapidly growing interest, due to their importance in the development of defense, remote sensing, aerospace, meteorological and navigation applications, as well as their unique peculiarities. These include covert operational ability relevant to the receiver position, counter-stealth capability, and potentially reduced cost as one transmitter can be used to send information to several receivers in active systems, or, in passive systems, only the receiver is necessary. The proposed tutorial starts from the basic concept of bistatic radars and explains some of the practical applications, as well specific details on clutter and target modeling. Biographies: Dr. Hugh Griffiths holds the THALES/Royal Academy Chair of RF Sensors in the Department of Electronic and Electrical Engineering at University College London, England. From 2006 to 2008 he was Principal of the Defense Academy College of Management and Technology. He received the MA degree in Physics from Oxford University in 1975, then spent three years working in industry, before joining University College London, where he received the PhD degree in 1986 and the DSc(Eng) degree in 2000, and served as Head of Department from 2001 to 2006. His research interests include radar and sonar systems and signal processing (particularly synthetic aperture radar and bistatic and multistatic radar), and antenna measurement techniques. He has published over five hundred papers and technical articles in the fields of radar, antennas and sonar. In 1996 he received the IEEE AESS Fred Nathanson Award (Radar Systems Panel Award), and in 2012 he was awarded the IET A.F. Harvey Prize for his work on bistatic radar. He has also received the Brabazon Premium of the IERE, the Mountbatten and Maxwell Premium Awards of the IEE, and the 2015 IEEE AES Mimno Award. He is a Fellow of the IET (previously IEE), Fellow of the IEEE, and in 1997 he was elected to Fellowship of the Royal Academy of Engineering. He served as President of the IEEE Aerospace and Electronic Systems Society for 2012/2013, and he is an IEEE AES Distinguished Lecturer, giving tutorials at numerous conferences. He has been a member of the IEEE AES Radar Systems Panel since 1989, serving as Chair from 2007 – 2009, and chaired the Working Group which revised the IEEE Radar Definitions Standard P686 and reaffirmed the Radar Letter Band Standard. Most recently, with Chris Baker and Dave Adamy, he led the revision of the classic Stimson’s Introduction to Airborne Radar book. Dr. Maria S. Greco graduated in Electronic Engineering in 1993 and received the Ph.D. degree in Telecommunication Engineering in 1998, from University of Pisa, Italy. From December 1997 to May 1998 she joined the Georgia Tech Research Institute, Atlanta, USA as a visiting research scholar where she carried on research activity in the field of radar detection in non-Gaussian backgrounds. In 1993 she joined the Department of Information Engineering of the University of Pisa, where she is Associate Professor since December 2011. She is an IEEE fellow since January 2011 and was a co-recipient of the 2001 IEEE Aerospace and Electronic Systems Society’s Barry Carlton
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Award for Best Paper and recipient of the 2008 Fred Nathanson Young Engineer of the Year award for contributions to signal processing, estimation, and detection theory. She has been cogeneral-chair of the 2007 International Waveform Diversity and Design Conference (WDD07), Pisa, Italy, in the Technical Committee of the 2006 EURASIP Signal and Image Processing Conference (EUSIPCO), Florence, Italy, in the Technical Committee of the 2008 IEEE Radar Conference, Rome, Italy, in the Organizing Committee of the CAMSAP09, Technical co-chair of CIP2010 (Elba Island, Italy), General co-Chair of CAMSAP2011 (San Juan, Puerto Rico) and Publication Chair of ICASSP2014, Florence, Italy. She was guest co-editor of the special issue of the Journal of the IEEE Signal Processing Society on Special Topics in Signal Processing on "Adaptive Waveform Design for Agile Sensing and Communication," published in June 2007 and lead guest editor of the special issue of International Journal of Navigation and Observation on “Modelling and Processing of Radar Signals for Earth Observation” published in August 2008. She is Associate Editor of IET Proceedings - Sonar, Radar and Navigation, of the IEEE Transactions on Signal Processing, Associate Editor-in-Chief of the IEEE Aerospace and Electronic Systems Magazine, member of the Editorial Board of the Springer Journal of Advances in Signal Processing (JASP), member of the IEEE Signal Processing Theory and Methods (SPTM) and Signal Array Processing (SAM) Technical Committees. She's also member of the IEEE AES Board of Governors and Chair of the IEEE AESS Radar Panel. She is a coauthor of the tutorials entitled “Radar Clutter Modeling”, presented at the International Radar Conference (May 2005, Arlington), “Sea and Ground Radar Clutter Modeling” presented at 2008 IEEE Radar Conference (May 2008, Rome, Italy) and at 2012 IEEE Radar Conference (May 2012, Atlanta, USA), and coauthor of the tutorial "RF and digital components for highly-integrated low-power radar" presented at the same conference. Her general interests are in the areas of statistical signal processing, estimation and detection theory. In particular, her research interests include clutter models, spectral analysis, coherent and incoherent detection in non-Gaussian clutter, CFAR techniques, radar waveform diversity and bistatic/multistatic active and passive radar. She co-authored many book chapters and more than 150 journal and conference papers.
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C-6 Ultra-Wideband Surveillance Radar Presented by Dr. Mark E. Davis, Medavis Consulting, USA Ultra-Wideband Surveillance Radar is an emerging technology for detecting and characterizing targets and cultural features for military and geosciences applications. To characterize objects near and under severe clutter, it is necessary to have fine range and cross range resolution. The resultant wide bandwidth classifies the systems as ultra-wideband, requiring special treatment in frequency allocation. This Tutorial is divided into four parts. •
The Early History of Battlefield Surveillance Radar: Examples of airborne phased array antennas and UWB radars will be summarized.
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UWB Frequency Allocation Process: Particular note will be taken on the benefits and difficulties in designing these ultra-wideband (UWB) systems, and operation in real world electromagnetic environments.
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UWB Synthetic Aperture Radar (SAR): The benefits of polarization diversity will be quantified in detecting and characterizing both man-made and natural objects. There is a clear benefit for use of polarization in the target characterization and false alarm mitigation.
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New Research in Multimode Ultra-Wideband Radar: The last two sections of the tutorial will illustrate new technologies that have promise for future multimode operation: the need to detect low minimum discernable velocity movement; and the operation of bistatic SAR in concert with a stationary GMTI illumination waveforms.
Biography: Dr. Mark E Davis has over 48 years of experience in radar technology and systems development. He has held senior management positions in the Defense Advanced Research Projects Agency (DARPA), Air Force Research Laboratory, and General Electric Aerospace. At DARPA, he was the program manager on both the foliage penetration (FOPEN) radar advanced development program and the GeoSAR dual frequency earth mapping radar. Dr. Davis wrote the text “Foliage Penetration Radar - Detection and Characterization of Objects Under Trees,” published by Scitech, Raleigh NC in March 2011. His education includes a PhD in Physics from The Ohio State University, and Bachelor and Master Degrees in Electrical Engineering from Syracuse University. He is a Life Fellow of both the IEEE and the Military Sensing Symposia, and a member of the IEEE Aerospace Electronics Systems Society Board of Governors and PastChair of the Radar Systems Panel.
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D-1 Practical Adaptive Processing for OTHR and Emerging Applications Presented by Dr. Giuseppe A. Fabrizio, DSTG, Australia The main theme of the tutorial is to motivate, describe and demonstrate the practical application of contemporary adaptive signal processing techniques to real-world OTH radar systems. In addition, the tutorial delves into a number of emerging applications including passive OTH radar, blind signal separation using antenna arrays, and multipath-driven emitter geolocation. The scope of the tutorial is to introduce a variety of signal detection and estimation problems encountered by real-world systems in challenging interference and clutter environments and to provide a framework for developing and implementing robust adaptive processing methods that can address these problems effectively in operational systems. This includes adaptive processing in space, time and space-time for active and passive HF radars used in surveillance applications, as well as novel techniques that exploit multipath propagation for high-fidelity waveform estimation and target geolocation. The depth of treatment ranges from explaining the fundamental principles of OTH radar systems to a mathematical description of validated signal models and the adaptive processing techniques based upon them. A highlight of the tutorial is the prolific inclusion of experimental results illustrating the practical application of robust signal processing techniques to real-world systems. These practical examples serve to demonstrate the benefits of advanced processing relative to conventional methods. The presenter has successfully delivered six well-attended tutorials at IEEE radar conferences since 2008. Biography: Dr. Giuseppe A. Fabrizio received his B.E. (hons) and Ph.D. degrees from the Electrical Engineering department at Adelaide University, Australia, in 1992 and 2000. Since 1993, Dr Fabrizio has been with the Australian Defense Science and Technology Group (DSTG), where he leads the EW and adaptive signal processing section of the high frequency radar branch. Dr Fabrizio is responsible for the development and practical implementation of innovative and robust adaptive signal processing techniques to enhance the operational performance of the Jindalee Operational Radar Network (JORN) - a multi-billion-dollar overthe-horizon (OTH) radar network. Dr Fabrizio is a senior member of the IEEE and is the principal author of over 50 peer-reviewed journal and conference publications. He is a corecipient of the prestigious M. Barry Carlton Award for the best paper published in the IEEE Transactions on Aerospace and Electronic Systems (AES) on two occasions (2003 and 2004). In 2007, he received the coveted DSTG Science and Engineering Excellence award for contributions to adaptive signal processing for JORN. In the same year, he was granted a DSTG Science Fellowship to pursue collaborative research at La Sapienza University in Rome, Italy. Dr Fabrizio has delivered six OTH radar tutorials in the national and international IEEE Radar Conference series and is an Australian representative on the IEEE International Radar Systems Panel. He is currently serving as Vice President of Education on the AESS Board of Governors and has been elected as the Executive Vice President of the AES Society for 2016-2017. Dr. Fabrizio was selected as the recipient of the distinguished IEEE Fred Nathanson Memorial Radar Award in 2011 for his contributions to OTH radar and radar signal processing. His is the sole author of the recent text book “High Frequency Over-the-Horizon Radar,” published by McGraw-Hill Professional, NY, 2013.
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D-2 Automotive Radar Systems at Daimler AG/Mercedes Benz: Past, Present, and Future Presented by Dr. Juergen Dickmann, Daimler AG, Germany, Dr. Ting Yuan, Mercedes-Benz R&D North America, USA and Dr. Jens Klappstein, Daimler AG, Germany Automotive Radar has already found its way into nearly all car manufacturers portfolio, even for small car platforms all over the world. Over the decades, the performance requirements have increased steadily from simple detector and ranging tasks in blind spot monitoring systems to multi range smart environment perception sensors. The utmost push in performance requirement is initiated with the trend towards highly automated driver-less driving. Future automotive radar systems have to provide imaging like capabilities and have to interact in Radar networks, which allow for comprehensive environmental perception and scene understanding tasks. The tutorial will start with simple radar basics, will give an overview on the differences between standard Radar applications and the special requirements/constraints for automotive applications. Based on that the tutorial will discuss the state of the art of automotive radar usage on the basis of the DAIMLER/Mercedes-Benz car platforms, will give an outline on future requirements for highly automated/driver-less driving and will present recent approaches in Radar-based environmental perception. A guideline for future automotive Radar HW and algorithm demands/solutions completes the tutorial. Biographies: Dr.-Ing. Juergen Dickmann is in charge of active sensors (Radar) at Vehicle Automation, DAIMLER AG. In several recent positions at DAIMER he was in charge of LaserScanner, Sensor Fusion and Situation Analysis. In addition, he was responsible for the transfer of all environmental sensing and localization activities for the new S-Class model (BR223). He received his Diploma degree in electrical engineering from University Duisburg, Germany, in 1984. He did his Dr.-Ing. degree in 1991 from the Rheinisch Westfaelische Technische Hochschule Aachen (RWTH), Germany. In 1986 he started his career at AEG Research Center, where he did research on III/ V- semiconductor processing techniques, mmWave devices and MMICs. His present interest is in radar and radar-based environmental understanding for autonomous driving.
Dr. Ting Yuan is currently a Senior Research Scientist at the Mercedes-Benz Research & Development North America, Inc., Sunnyvale, CA within the Autonomous Driving Department, where his fields of endeavor lie in detection, classification and tracking of moving/static object s using information from camera, Radar and Lidar systems, as well as data fusion for the multisensor systems. He received his Ph.D. degree from the Electrical and Computer Engineering Department at the University of Connecticut, Storrs, CT in 2013. His research interests include target tracking, data fusion and multiple-model analysis. Dr. Jens Klappstein is currently working on ABA+ and Autobahnpilot based on Radar system at Vehicle Automation, DAIMLER AG. His research interests include (high resolution) image radar data analysis (Analyse bildgebender Radardaten) and extended radar object tracking. .
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D-3 Convex Optimization for Adaptive Radar Presented by Dr. Vishal Monga, The Pennsylvania State University, USA and Dr. Muralidhar Rangaswamy, AFRL, USA Space time adaptive processing (STAP) for radar has enjoyed a rich history of contributions over nearly sixty years and has seen exciting recent progress. With an increase in computing capabilities, powerful tools from statistical detection-estimation and applied mathematics can now be brought to bear on previously unsolved problems. Despite the exciting trends, an Achilles heel of modern radar systems is the often not so graceful trade-off between computational complexity and system performance measures. One key example is the classically important problem of disturbance covariance estimation, which is crucial to detection and optimal transmit and receiver design. Unlike unconstrained estimators, a vast majority of constrained radar STAP estimators are iterative and expensive numerically, which prohibits practical deployment. Another key problem is that of radar waveform design, which is the cornerstone of enabling transmit adaptivity in modern radar systems. Two decades of research in waveform design has revealed promising solutions but a vast majority of algorithmic techniques drop important practical constraints in favor of analytical tractability. Approaches that incorporate demanding constraints like constant modulus lead to computationally onerous solutions. The main theme of this tutorial is to motivate, describe and illustrate the application of convex optimization principles for adaptive radar signal processing. The scope of the tutorial is to introduce a variety of optimization problems for adaptive radar signal processing, including disturbance co-variance estimation and waveform and receive filter design, encountered by realworld systems under challenging practical constraints. Incorporating the aforementioned constraints into the optimization framework often results in ill-posed problems where no unique solutions are available and no globally optimal solutions are guaranteed. The central thrust of the tutorial is to introduce novel optimization approaches to solve estimation, detection and waveform design problems core to modern radar signal processing that are complicated by a plethora of real world effects arising from systems and environmental considerations. A key example in this context of a resource constraint is limited number of homogenous training samples for estimating statistics such as disturbance and clutter covariance. Phenomenology based constraints involve understanding and exploiting clutter rank in covariance estimation. On the other hand, hardware limitations force the inclusion of constant modulus constraint in waveform design. The tutorial will extensively employ the theory of convex and non-linear optimization, convex analysis, and approximation to expand on recent exciting progress in convex optimization for radar systems. Our goal is to break the classical trade-off between computational complexity in constrained optimization and achieving desirable performance measures. Biographies: Dr. Vishal Monga received the B. Tech. degree from the Indian Institute of Technology (IIT), Guwahati, India, and the Ph.D. degree in Electrical Engineering from the University of Texas at Austin, in 2005. From Oct 2005 to July 2009 he was an imaging scientist with Xerox Research Labs. He has also been a visiting researcher at Microsoft Research in Redmond, WA and a visiting faculty member at the University of Rochester. He is currently a
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tenured Associate Professor of EECS at the Pennsylvania State University, University Park, PA, USA. His research group focuses on convex optimization theory and algorithms in signal and image processing including applications in image classification, computational imaging and radar signal processing. Prof. Monga is a recipient of the U.S. National Science Foundation CAREER Award, and the Monkowski Early Career Award from the College of Engineering at Penn State. He currently serves as an Associate Editor of the IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and the IEEE Signal Processing Letters. His research has been the recipient of the several best paper awards at IEEE conferences including the IEEE Mikio Takagi Best Paper Award at IGARSS in 2012 and a 2014 best student paper award at the IEEE Radar Conference. Prof. Monga is a Senior Member of the IEEE. Dr. Muralidhar Rangaswamy received the B.E. degree in Electronics Engineering from Bangalore University, Bangalore, India in 1985 and the M.S. and Ph.D. degrees in Electrical Engineering from Syracuse University, Syracuse, NY , in 1992. He is presently employed as the Senior Advisor for Radar Research at the RF Exploitation Branch within the Sensors Directorate of the Air Force Research Laboratory (AFRL). Prior to this he has held industrial and academic appointments.
His research interests include radar signal processing, spectrum estimation, modeling nonGaussian interference phenomena, and statistical communication theory. He has co-authored more than 200 refereed journal and conference record papers in the areas of his research interests. Additionally, he is a contributor to 9 books and is a co-inventor on 3 U.S. patents. Dr. Rangaswamy is the Technical Editor (Associate Editor-in-Chief) for Radar Systems in the IEEE Transactions on Aerospace and Electronic Systems (IEEE-TAES). He served as the CoEditor-in-Chief for the Digital Signal Processing journal between 2005 and 2011. Dr. Rangaswamy served on the Senior Editorial Board of the IEEE Journal of Selected Topics in Signal Processing (Jan 2012-Dec 2014). He was a 2 term elected member of the sensor array and multichannel processing technical committee (SAM-TC) of the IEEE Signal Processing Society between January 2005 and December 2010 and serves as a member of the Radar Systems Panel (RSP) in the IEEE-AES Society. He was the General Chairman for the 4th IEEE Workshop on Sensor Array and Multichannel Processing (SAM-2006), Waltham, MA, July 2006. Dr. Rangaswamy has served on the Technical Committee of the IEEE Radar Conference series in a myriad of roles (Track Chair, Session Chair, Special Session Organizer and Chair, Paper Selection Committee Member, Tutorial Lecturer). He served as the Publicity Chair for the First IEEE International Conference on Waveform Diversity and Design, Edinburgh, U.K., November 2004. He presently serves on the conference sub-committee of the RSP. He was the Technical Program Chairman for the 2014 IEEE Radar Conference.
He received the IEEE Warren White Radar Award in 2013, the 2013 Affiliate Societies Council Dayton (ASC-D) Outstanding Scientist and Engineer Award, the 2007 IEEE Region 1 Award, the 2006 IEEE Boston Section Distinguished Member Award, and the 2005 IEEE-AESS Fred Nathanson memorial outstanding young radar engineer award. He was elected as a Fellow of the IEEE in January 2006 with the citation for contributions to mathematical techniques for radar space-time adaptive processing. He received the 2012 and 2005 Charles Ryan basic research award from the Sensors Directorate of AFRL, as well as 40+ scientific achievement awards.
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D-4 Target Identification and Classification Using Radar Features and Statistical Models Presented by Sundja Buruschkin, Lockheed Martin MST, USA, Lisa Lowrie, Lockheed Martin MST, USA, and Darren Walters, Lockheed Martin MST, USA This tutorial will discuss target identification and classification functions for both air and ballistic missile targets, including: •
A discussion of the unique technical challenges specific to identifying varying types of targets in different environmental conditions, including air targets in the presence of clutter and ballistic missile objects in a dense exo-atmospheric scene.
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A machine learning approach to classifying air and ballistic missile objects and the collaboration required with the threat intelligence community
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An overview of the type of features that can be extracted from radar measurements and the waveform design implications associated with achieving measurement qualities necessary for robust feature extraction.
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A discussion of classification models which operate on features extracted from radar measurements, including how models, such as Bayesian Networks, are designed to perform inference and learning and how these models can be integrated with decision trees.
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Developing robust solutions while within development or design constraints, such as radar resource availability, computing power or memory, cost, and schedule.
Biographies: Dr. Sundja Buruschkin a Member of the Engineering Staff at Lockheed Martin Mission Systems and Training in Moorestown, NJ and is currently the RF Discrimination Team Lead for the Aegis BMD 5.1 Sea-Based Terminal Increment 2 program. He has over 7 years of experience in software and systems engineering, supporting various design and modeling and simulation efforts for the Aegis Combat System. Sundja was a key contributor to the Aegis BMD 5.1 RF Discrimination design over its three phases. He holds a BS in Computer Science from Drexel University and a MEng in Systems Engineering from Cornell University.
Lisa Lowrie is a Systems Engineering Manager with the Radar Systems Engineering Department and a Qualified Systems Architect at Lockheed Martin Mission Systems and Training in Moorestown, NJ. Prior to becoming a manager, Lisa was a Principal Member of the Engineering staff. She has over 16 years of experience in radar systems engineering design, analysis, and test. Her experience includes algorithm development in the areas of tracking, interference mitigation, and radar resource management as well as integration and test of solid- state digital beamforming radars. Lisa has authored numerous papers and has given multiple presentations to Lockheed Martin and government laboratory personnel. Lisa holds a M.S. in Systems Engineering from the University of Pennsylvania, a M.A. in Mathematics from Villanova University, and a B.A. in Mathematics from Holy Family University.
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Darren Walters is a Member of the Engineering Staff in the Radar Systems Engineering Department at Lockheed Martin Mission Systems and Training in Moorestown, NJ. His work includes 8 years of experience in signal processing, tracking, and Radar control processing across several programs including the Aegis Ballistic Missile Defense programs. He is currently the team lead for the Cortical Recognition of Missile Objects study. Darren holds a M.S. in Electrical Engineering from Drexel University and a B.S. in Computer Engineering from Lehigh University. .
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D-5 MIMO Radar and Waveform Diversity: The 2nd Wave Presented by Dr. Joseph. R. Guerci, Information Systems Laboratories, USA and Dr. Jameson S. Bergin, Information Systems Laboratories, USA
It has been over 10 years since the introduction of the concept of MIMO radar and waveform diversity. During this period there has been a plethora of research activities and publications extoling the many potential benefits and pitfalls of this new area. In this tutorial we take stock of the many developments and begin to identify where practical benefits have been achieved in real-world radars, and where work remains to flesh out remaining benefits. Biographies: Dr. Guerci has 30 years of experience in advanced technology research and development in government, industrial, and academic settings including the US Defense Advanced Research Projects Agency (DARPA) as Director of the Special Projects Office (SPO) where he led the inception, research, development, execution, and ultimately transition of next generation multidisciplinary defense technologies. In addition to authoring over 100 peer reviewed articles in next generation sensor systems, he is the author of “Space-Time Adaptive Processing for Radar”, 2nd edition, and “Cognitive Radar: The Knowledge-Aided Fully Adaptive Approach”, (Artech House). In 2007 he received the IEEE Warren D. White Award for radar adaptive processing and is a Fellow of the IEEE for contributions to advanced radar theory and its embodiment in real-world systems. He is currently President and CEO of Information Systems Laboratories, Inc.
Dr. Bergin has over 18 years’ experience in RF systems engineering and signal processing. He is currently a principal engineer with Information Systems Laboratories, Inc. Mr. Bergin is principal investigator on a number of past and on-going DARPA and AFRL-sponsored R&D programs including the DARPA KASSPER and FOPEN-GXP programs. Mr. Bergin has experience developing advanced RF systems including MIMO radar, knowledge-aided signal processing, and dismount detection and discrimination techniques. His research has led to the implementation of an advanced low-cost MIMO radar mode that is being integrated and tested on the Telephonics ZPY-4 radar system. His research has led to numerous open literature and conference publications.
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CONFERENCE AGENDA Monday, May 2, 2016 0800 - 1200
Tutorial A-1 Franklin
Tutorial A-2 Tubman
Tutorial A-3 Anthony
Tutorial A-4 Adams
Tutorial A-5 P1 Parlor
Tutorial A-6 P2 Parlor
Tutorial B-5 P1 Parlor Tutorial C-5 P1 Parlor
Tutorial B-6 P2 Parlor Tutorial C-6 P2 Parlor
1300 - 1700
Tutorial B-1 Franklin
Tutorial B-2 Tubman
Exhibitor Setup Millennium Hall Tutorial B-3 Tutorial B-4 Anthony Adams
1800 - 2200
Tutorial C-1 Franklin
Tutorial C-2 Tubman
Tutorial C-3 Anthony
1200 - 1700
Tuesday, May 3, 2016
0830 - 1200
1320 - 1500
Lunch Regency A/C Spectrum Sharing I Passive Radar I Commonwealth A Commonwealth B
1500 - 1540 1540 - 1720
Exhibits in Millennium Hall from 0800 to 1700 Speakers Breakfast Congress A Plenary Session Regency B
0730 - 0830
1200 - 1320
Tutorial C-4 Adams
Spectrum Sharing II Commonwealth A
Wednesday, May 4, 2016
Women in Radar Event and Lunch Congress A Radar Systems I STAP Commonwealth C Commonwealth D
Afternoon Poster Session Millennium Hall Passive Radar II Radar Systems II Commonwealth B Commonwealth C
Radar Imaging Commonwealth D
Exhibits in Millennium Hall from 0800 to 1700
0730 - 0830
Speakers Breakfast Congress A
0730 - 0930
Companions Breakfast Congress B Passive Radar III ISAR Commonwealth B Commonwealth C
Radar Waveforms I Commonwealth D
Morning Poster Session Millennium Hall Passive Radar IV SAR I Commonwealth B Commonwealth C
Radar Waveforms II Commonwealth D
0830 - 1010
Cognitive Radar Commonwealth A
1010 - 1050 1050 - 1230
MIMO I Commonwealth A
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Wednesday, May 4, 2016 (cont’d)
Lunch Regency A/C
1230 - 1330 1330 - 1510
Commonwealth A
Bistatic/Multistatic SAR II Radar Commonwealth B Commonwealth C Afternoon Poster Session Millennium Hall
Automotive Radar Commonwealth A
Tracking Commonwealth B
MIMO II
1510 - 1550 1550 - 1730
Exhibits in Millennium Hall from 0800 to 1700
SAR III Commonwealth C
1830 - 2130
Thursday, May 5, 2016
Speakers Breakfast Congress A
0730 - 0930
Companions Breakfast Congress B
1050 - 1230 1230 - 1330 1330 - 1510
Classification I Commonwealth A
Compressive Radar Commonwealth C Morning Poster Session Millennium Hall Emerging Classification II Antenna Technologies Applications Commonwealth A Commonwealth B Commonwealth C Lunch Regency A/C Phenomenology Commonwealth A
RF interference Commonwealth B
Antennas & Front Ends Commonwealth B
Compressive Sampling Commonwealth C
Afternoon Poster Session Millennium Hall
1510 - 1550 1550 - 1730
Estimation & Extraction Commonwealth D
Exhibits in Millennium Hall from 0800 to 1700
0730 - 0830
1010 - 1050
Commonwealth D
Banquet Reception Regency Prefunction Banquet Regency B
1730 - 1830
0830 - 1010
Waveform Diversity
Sea Clutter Commonwealth A
Penetrating Radar Commonwealth B
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Detection I Commonwealth D
Detection II Commonwealth D
Detection III Commonwealth D
Friday, May 6, 2016 0800 - 1200 0800 - 1200
Exhibitor Teardown Millennium Hall Tutorial D-1 Franklin
Tutorial D-2 Tubman
Tutorial D-3 Anthony
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Tutorial D-4 Adams
Tutorial D-5 P2 Parlor
Lambda Science, Inc. (LSI) was founded in 1993 for the purposes of performing basic and applied scientific research specializing in advanced electromagnetic sensors with applications in radar, communications, electronic warfare, and sonar. LSI provides science and engineering consulting to both US Government agencies and private industry, delivering the very best technical product in a cost effective and timely manner. The company maintains a strong connection to relevant professional and academic activities, and employs only qualified professionals who are among the very finest. LSI capabilities include: •
•
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Rigorous analytical performance prediction involving sensor and environment modeling, to custom experiment design and hands-on hardware performance evaluation. Significant experience in end-to-end system design and development, subsystem design and development, and advanced signal processing methods and applications. Excellent understanding of propagation and scattering phenomenology, and expertise in many applications that must mitigate and/or exploit this phenomenology.
Lambda Science, Inc. is located in the Philadelphia suburbs and offers competitive salary, excellent benefits, and the ability for employees to directly receive recognition and financial reward for their contributions. For more information about LSI please visit www.lamsci.com.
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Tuesday, May 3 Tuesday, May 3, 13:20 - 15:00 109: Spectrum Sharing I Room: Commonwealth A Chairs: Joseph R. Guerci (Information Systems Laboratories, Inc. USA, USA), Alex Lackpour (Lockheed Martin Advanced Technology Laboratories & Drexel University, USA) 1:20 Design and Analysis of an Information Exchange-Based Radar/Communications Spectrum Sharing System (RCS3) Alex Lackpour (Lockheed Martin Advanced Technology Laboratories & Drexel University, USA); Joseph R. Guerci (Information Systems Laboratories, Inc. USA, USA); Alan Rosenwinkel (Lockheed Martin Advanced Technology Laboratories, USA); David Ryan (Spectrum Effect, USA); Apurva N Mody (BAE Systems, USA) 1:40 Let's Share CommRad: Effect of Radar Interference on an Uncoded Data Communication System Narueporn Nartasilpa, Daniela Tuninetti, Natasha Devroye and Danilo Erricolo (University of Illinois at Chicago, USA) 2:00 Circuit Optimization Algorithms for Real-Time Spectrum Sharing Between Radar and Communications Charles Baylis, Matthew Fellows, Joseph Barkate, Alexander Tsatsoulas, Sarvin Rezayat, Lucilia Lamers and Robert J. Marks (Baylor University, USA); Larry Cohen (Naval Research Laboratory, USA) 2:20 Non-Coherent PSK-Based Dual-Function Radar-Communication Systems Aboulnasr Hassanien and Moeness G. Amin (Villanova University, USA); Yimin D. Zhang (Temple University, USA); Fauzia Ahmad (Villanova University, USA); Braham Himed (AFRL, USA)
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2:40 Gapped Spectrum Shaping for Tandem-Hopped Radar/Communications & Cognitive Sensing John Jakabosky, Brandon Ravenscroft and Shannon D Blunt (University of Kansas, USA); Anthony Martone (US Army Research Laboratory, USA) 212: Passive Radar I Room: Commonwealth B Chairs: Rick Blum (Lehigh University, USA), Heiner Kuschel (Fraunhofer FHR, Germany) 1:20 Simulated & Theoretical SNR in Passive Bistatic Noise Radar Processing Michael J. Callahan (Air Force Research Laboratory, USA); Brian D Rigling (Wright State University, USA); Muralidhar Rangaswamy (AFRL, USA) 1:40 Train Monitoring Using GSM-R Based Passive Radar Kevin Chetty, Qingchao Chen and Karl Woodbridge (University College London, UK, United Kingdom) 2:00 Multi-Transmitter Clutter Modeling for Passive STAP James Lievsay and Nathan A Goodman (University of Oklahoma, USA) 2:20 Passive Localization for Emitter with Unknown LFM Signal Based on Signal Parameter Estimation Zhenhua Chen and Wei Yi (University of Electronic Science and Technology of China, P.R. China); Rick Blum (Lehigh University, USA); Lingjiang Kong and Xiaobo Yang (University of Electronic Science and Technology of China, P.R. China) 2:40 Passive Polarimetric Multistatic Radar Imaging of Ground Moving Target Il-Young Son and Birsen Yazıcı (Rensselaer Polytechnic Institute, USA) 218: Radar Systems I Room: Commonwealth C Chairs: James K Day (LM Syracuse, USA), John M Milan (None, USA) 1:20 Evaluating Commensal Sensors for Detecting Objects of Interest in the Low Earth Orbit Andrew Nicol (University of Cape Town, South Africa); Michael R Inggs (University Cape Town, South Africa); Daniel O'Hagan (University of Cape Town, South Africa) 1:40 Power Amplifier and Power Supply Distortion of Pulse Compression Radar Chirps Mark Leifer (Ball Aerospace, USA); Randy Haupt (Colorado School of Mines, USA) 2:00 Channel Characterization for Polarimetric HF Skywave Radar Stuart Anderson (University of Adelaide, Australia) 2:20 Radar Processing Architecture for Simultaneous SAR, GMTI, ATR, and Tracking Ryan K Hersey (Georgia Tech Research Institute, USA); Edwin Culpepper (Air Force Research Lab, USA)
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2:40 Power Allocation Game Between a Radar Network and Multiple Jammers Anastasios Deligiannis and Gaia Rossetti (Loughborough University, United Kingdom); Anastasia Panoui (School of Electronic, Electrical and Systems Engineering, Loughborough University, United Kingdom); Sangarapillai Lambotharan (Loughborough University, United Kingdom); Jonathon Chambers (Newcastle University, United Kingdom) 226: Space-Time Adaptive Processing Room: Commonwealth D Chairs: Scott Goldstein (ENSCO, Inc., USA), Micheal Picciolo (ENSCO, Inc., USA) 1:20 Performance and Computational Trades for RD-STAP Algorithms in Challenging Detection Environments Audrey Paulus and William Melvin (Georgia Tech Research Institute, USA); Braham Himed (AFRL, USA) 1:40 Space-Time Adaptive Mismatch Processing Alan O'Connor and Joshua Kantor (MIT Lincoln Laboratory, USA); John Jakabosky (University of Kansas, USA) 2:00 Multi-Window Post-Doppler Dimensionality Reduction for Multi-Waveform STAP Lumumba Harnett, Patrick McCormick and Shannon D Blunt (University of Kansas, USA); Justin G Metcalf (Air Force Research Laboratory, USA) 2:20 GMTI Mismatch Analysis for Local Invariance Clutter Mitigation Hanguang Yu, Xue Jiang and Daniel W. Bliss (Arizona State University, USA) 2:40 Symmetric Spectrum Detection in the Presence of Partially Homogeneous Environment Chengpeng Hao (Institute of Acoustics, Chinese Academy of Sciences, P.R. China); Danilo Orlando (Universita' degli Studi Niccolo' Cusano, Italy); Alfonso Farina (IEEE AESS BoG VP Industry Relations, Italy); Salvatore Iommelli (Ente Maxwell, Italy); Chaohuan Hou (Chinese Academy of Sciences, P.R. China)
Tuesday, May 3, 15:00 - 15:40 301: Poster Session Tues PM Room: Millennium Hall On Detection of Nonstationarity in Radar Signal Processing Zhenghan Zhu, Steven Kay and Fuat Cogun (University of Rhode Island, USA); Ramachandran S Raghavan (AFRL, USA) Pose Estimation Based on Exploration of Geometrical Information in SAR Images YIcheng Jiang, Xiaohui Zhao and Zhang Yun (Harbin Institute of Technology, P.R. China); Bin Hu (No. 92 Xidazhi Street & Harbin Institute of Technology, P.R. China); Yuan Zhuang (Harbin Institute of Technology, P.R. China)
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Coherent Laser Radar with Dual-Frequency Doppler Estimation and Interferometric Range Detection Daniel Onori (Scuola Superiore Sant'Anna, Italy); Filippo Scotti, Francesco Laghezza, Mirco Scaffardi and Antonella Bogoni (CNIT, Italy) Micro-Doppler Classification of Ballistic Threats Using Krawtchouk Moments Adriano Rosario Persico and Carmine Clemente (University of Strathclyde, United Kingdom); Luca Pallotta (CNIT, Italy); Antonio De Maio (University of Naples "Federico II", Italy); John J Soraghan (University of Strathclyde, United Kingdom) MIMO Radar Adaptive Bayesian Detection in Compound-Gaussian Clutter with Inverse Gamma Texture Tianxian Zhang, Xueting Li, Lingjiang Kong and Xiaobo Yang (University of Electronic Science and Technology of China, P.R. China); Rick Blum (Lehigh University, USA) Robust Method for Detecting Target-Like Signals in Training Samples in STAP Sudan Han, Chongyi Fan and Xiaotao Huang (National University of Defense Technology, P.R. China) Multi-target Tracking Using a PHD-based Joint Tracking and Classification Algorithm Clement Magnant (University of Bordeaux & THALES, France); Audrey Giremus and Eric J. Grivel (Université de Bordeaux, France); Laurent Ratton (Thales Inc., France); Bernard Joseph (Thales Airborne Systems, France) Hopped-frequency Waveform Design for Optimal Detection in Spectral Congested Environment Dehua Zhao, Wei Yinsheng and Yongtan Liu (Harbin Institute of Technology, P.R. China) Site Planning and Illuminator Variability for DTV-Based Passive Radar Kevin Scott, Ted Dabrowski and William Barott (Embry-Riddle Aeronautical University, USA); Braham Himed (AFRL, USA) Doppler Detection for Linear FM Waveform Using Extended Matched Filter Ravi Kadlimatti and Adly T. Fam (University at Buffalo, USA) Characterizing the Impacts of Rice Fading on a WiFi-based Passive Multistatic Radar Using Cramer-Rao Bound Muhammad Nohman Javed (SEECS, NUST Pakistan, Pakistan); Syed Ali Hassan and Sajid Ali (National University of Sciences and Technology, Pakistan) Cramer-Rao Lower Bound Assessment When Using Bistatic Clutter Mitigation Techniques Marsal A Bruna (Georgia Institute of Technology, USA); Kristin F Bing (Georgia Tech Research Institute, USA); Mark Minges (Air Force Research Lab, USA) Space-Time Transmit Code and Receive Filter Design for Colocated MIMO Radar Xianxiang Yu (University Of Electronic Science And Technology Of China, P.R. China); Guolong Cui (University of Electronic Science and Technology of China (UESTC), P.R. China); Vincenzo Carotenuto (University of Naples Federico II, Italy); Lingjiang Kong (University of Electronic Science and Technology of China, P.R. China)
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Two-channel Iterative Adaptive Approach for Scanning Radar Angular Superresolution Yongchao Zhang and Wenchao Li (University of Electronic Science and Technology of China, P.R. China); Yulin Huang (University of Electornic Science and Technology of China, P.R. China); Zhang Yin (University of Electronic Science and Technology of China (UESTC), P.R. China); Jianyu Yang (School of Electronic Engineering, P.R. China) Micro-motion Target Detection Based on Antenna Jitter Compensation in Through-the-wall Radar Lei Qiu and Tian Jin (National University of Defense Technology, P.R. China); Lu Biying and Zhou Zhimin (National University of Denfence Technology, P.R. China); Chongyi Fan (National University of Defense Technology, P.R. China) Interference Suppression Using Knowledge-Aided Subarray Pattern Synthesis David New (USAF, USA); Phillip Corbell (Air Force Institute of Technology & USAF, USA) A Multi-Frame Track-Before-Detect Algorithm for Maneuvering Targets in Radar System Zicheng Fang, Wei Yi, Lingjiang Kong, Binbin He and Xiaoling Zhang (University of Electronic Science and Technology of China, P.R. China) Minimum Entropy Autofocus for 3D SAR Images From a UAV Platform Ian Fletcher (Tufts University & MIT Lincoln Laboratory, USA); Colin Watts and Eric Miller (Tufts University, USA); Dan Rabinkin (MIT Lincoln Laboratory, USA) Low Sidelobe Pseudo-Orthogonal Code Sets Through Particle Swarm Optimization Zachary Dunn (University of Oklahoma & Advanced Radar Research Center, USA); Mark Yeary, Faruk Uysal and Caleb Fulton (University of Oklahoma, USA)
Tuesday, May 3, 15:40 - 17:20 110: Spectrum Sharing II Room: Commonwealth A Chairs: John Chapin (DARPA, USA), Barry Fell (DARPA, USA) 3:40 A High-Level Overview of Fundamental Limits Studies for the DARPA SSPARC Program Garry Jacyna (The MITRE Corporation, USA); Barry Fell (DARPA, USA); Don McLemore (McLemore Enterprises, LLC, USA) 4:00 Performance Bounds on Cooperative Radar and Communication Systems Operation Christ D. Richmond and Prabahan Basu (MIT Lincoln Laboratory, USA); Rachel Learned (MIT, USA); James Vian, Andrew P. Worthen and Michael Lockard (MIT Lincoln Laboratory, USA) 4:20 Joint Radar-Communications Resource Management Michael Zatman (SAZE Technologies, USA); Max Scharrenbroich (SAZE Technologies, LLC, USA)
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4:40 Joint Communications and Radar Performance Bounds Under Continuous Waveform Optimization: The Waveform Awakens Bryan Paul (Arizona State University & General Dynamics Mission Systems, USA); Alex Chiriyath and Daniel W. Bliss (Arizona State University, USA) 5:00 Gaussian Multiple Access Channels for Radar and Communications Spectrum Sharing Jeremy Reed (GTRI, USA); Jonathan Odom and Richard Causey (Georgia Tech Research Institute, USA); Aaron Lanterman (Georgia Tech, USA) 5:20 Cramer-Rao Lower Bounds for Radar Parameter Estimation in Noise Plus Structured Interference Matthew Masarik (Michigan Tech Research Institute, USA); Nikola S Subotic (MTRI, USA) 213: Passive Radar II Room: Commonwealth B Chairs: Kristine L Bell (Metron, USA), Braham Himed (AFRL, USA) 3:40 Array Based Passive Radar Target Localization Jamie Huang, Joseph L Garry and Graeme Smith (The Ohio State University, USA); Chris J Baker (Aveillant, United Kingdom) 4:00 SAR/ISAR Imaging in Passive Radars Piotr Samczynski, Krzysztof S Kulpa, Marcin Baczyk and Damian Gromek (Warsaw University of Technology, Poland) 4:20 First Experimental Results for a WiFi-based Passive Forward Scatter Radar Tatiana Martelli (University of Roma "La Sapienza", Italy); Fabiola Colone (University of Rome "La Sapienza", Italy); Pierfrancesco Lombardo (University Roma La Sapienza, Italy) 4:40 Passive Multistatic SAR with GNSS Transmitters and Using Joint Bi/Multi-static CLEAN Technique Fabrizio Santi (University of Rome "La Sapienza", Italy); Marta Bucciarelli (SYMPAS S. r. l. & University of Rome, "La Sapienza", Italy); Debora Pastina (University of Rome "La Sapienza", Italy); Michail Antoniou and Mikhail Cherniakov (University of Birmingham, United Kingdom) 219: Radar Systems II Room: Commonwealth C Chairs: Eli Brookner (Raytheon, USA), Jerry Nespor (Lockheed Martin, USA) 3:40 Direction of Arrival Estimation in Mixed Compound-Gaussian and Gaussian Noise Olivier Besson (ISAE, France); Yuri Abramovich (W R Systems, Ltd, USA); Ben A. Johnson (University of South Australia & Lockheed Martin, USA) 4:00 Analysis of Modulated Signals for Direction Finding Using Time Modulated Arrays Alan O'Donnell (Virginia Tech University, USA); William Clark, IV and Joseph M. Ernst (Virginia Tech, USA); Robert McGwier (Virginia Tech & Allied Communications, AMSAT, and Flex Radio System, Inc., USA)
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4:20 On the Use of Reconfigurable Antenna Arrays for DoA Estimation of Correlated Signals Emrah Kaderli (TOBB University of Economics and Technology, Turkey); Israfil Bahceci (TOBB University of Economics and Technology & Utah State University, Turkey); Kathleen Kaplan (Air Force Office of Scientific Research, USA); Bedri Cetiner (Utah State University, USA) 4:40 A Flexible On-line Scheduling Algorithm for Multifunctional Radar Pasquale Sgambato, Salvatore Celentano, Colomba Di Dio and Chiara Petrillo (Finmeccanica, Italy) 5:00 PMCW Waveform and MIMO Technique for a 79 GHz CMOS Automotive Radar Andre Bourdoux (IMEC, Belgium); Ubaid Ahmad (Katholieke University of Leuven & IMEC, Belgium); Davide Guermandi, Steven Brebels, Andy Dewilde and Wim Van Thillo (IMEC, Belgium) 217: Radar Imaging Room: Commonwealth D Chairs: Moeness G. Amin (Villanova University, USA), Unnikrishna Pillai (New York University, USA) 3:40 A Sparsity Based Approach to Velocity SAR Imaging Raghu G. Raj (United States Naval Research Laboratory, Washington D. C., USA); Robert W Jansen and Mark A Sletten (Naval Research Lab, USA) 4:00 Hyperspectral 10-50GHz SAR Imaging of Building Materials Keith Morrison (Cranfield University, United Kingdom); Daniel Andre (Cranfield University & Defence Academy of the United Kingdom, United Kingdom); David Blacknell (DSTL, United Kingdom); Darren Muff, Matthew Nottingham and Claire Stevenson (Dstl, United Kingdom); John Bennett (Unviersity of Sheffield, United Kingdom) 4:20 Factorized Geometrical Autofocus: On the Geometry Search Jan Torgrimsson (Chalmers University of Technology, Sweden); Patrik Dammert (Electronic Defense Systems, Saab AB, Sweden); Hans Hellsten (Saab Microwave Systems, Sweden); Lars Ulander (Swedish Defence Research Agency, Sweden) 4:40 3D ISAR/SAR Imaging Using Multichannel Real Data Anna Fontana (Fraunhofer Institut- FHR/ARB, Germany); Patrick Berens (Fraunhofer FHR, Germany); Daniele Staglianò (University of Pisa & National Inter-University Consortium for Telecommunications (CNIT), Italy); Marco Martorella (University of Pisa, Italy) 5:00 ISAR Autofocus by Minimizing Entropy of Eigenimages Seong-Hyeon Lee, Ji-Hoon Bae and Min-Seok Kang (Pohang University of Science and Technology, Korea); Chan-Hong Kim (Agency for Defense Development, Korea); Kyung-Tae Kim (Pohang University of Science and Technology (POSTECH), Korea)
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Wednesday, May 4 Wednesday, May 4, 08:30 - 10:10 104: Cognitive Radar Room: Commonwealth A Chairs: Jamie Bergin (ISL, USA), Muralidhar Rangaswamy (AFRL, USA) 8:30 Adaptive Spectrum Controlled Waveforms for Cognitive Radar Mario LaManna (Evoelectronics & Evoelectronics, Italy); Pasquale Tommasino, Alessandro Trifiletti and Pietro Monsurrò (University of Rome "La Sapienza", Italy) 8:50 Waveform Design and Receiver Filter Optimization for Multistatic Cognitive Radar Gaia Rossetti, Anastasios Deligiannis and Sangarapillai Lambotharan (Loughborough University, United Kingdom) 9:10 Towards Sub-Nyquist Cognitive Radar Deborah Cohen, Alex Dikopoltsev and Robert Ifraimov (Technion - Israel Institute of Technology, Israel); Yonina C. Eldar (Technion-Israel Institute of Technology, Israel) 9:30 Over-Sampled Polyphase Code Design for Physical Implementation with Spectral and Correlation Consideration Dehua Zhao, Wei Yinsheng and Yongtan Liu (Harbin Institute of Technology, P.R. China) 9:50 Game Theoretic Decision Support Framework for Electronic Warfare Applications David Wonderley (Georgia Institute of Technology, USA); Teresa Selee (GTRI, USA); Vasu Devan Chakravarthy (Air Force Research Laboratory, USA) 214: Passive Radar III Room: Commonwealth B Chairs: Pierfrancesco Lombardo (University Roma La Sapienza, Italy), Michael Wicks (University of Dayton Research Institute, USA) 8:30 Autonomous Characterization of Signals for Passive Radar Systems Nick Johnson (SPAWAR Systems Center, Pacific, USA); Mohamed Chergui (SPAWAR Sysems Center, Pacific, USA); Linwood Jones (University of Central Florida, USA) 8:50 Results of Airborne Passive SAR Ground and Sea Target Imaging Using DVB-T Signals Per-olov Frölind (Swedish Defence Research Agency, Sweden) 9:10 Dual-polarization DVB-T Passive Radar: Experimental Results Michele Conti, Christian Moscardini and Amerigo Capria (CNIT, Italy)
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9:30 Integration of Passive and Active Microwave Remote Sensing to Estimate Water Quality Parameters Muntadher Shareef, shareef (Lab-STICC UMR CNRS 6285 ENSTA Bretagne Brest, France); Ali Khenchaf (ENSTA Bretagne & LAB-STICC UMR CNRS 6285, France); Abdelmalek Toumi (ENSTA Bretagne, France) 9:50 Multistatic Radar Exploitation of Forward Scattering Nulls Sean Kaiser (The Pennsylvania State University, USA); Andrew Christianson (Naval Surface Warfare Center, USA); Ram M Narayanan (The Pennsylvania State University, USA) 209: ISAR Room: Commonwealth C Chairs: Daniel W. Bliss (Arizona State University, USA), Ram M Narayanan (The Pennsylvania State University, USA) 8:30 Satellite-Aided Radar Imaging (SARI) Faramaz Davarian (JPL, USA) 8:50 Fast Wide-Area P-SAR/ISAR Performance Prediction William Barott (Embry-Riddle Aeronautical University, USA); Braham Himed (AFRL, USA) 9:10 ISAR Imaging of Non-cooperative Objects with Non-uniform Rotational Motion Risto Vehmas, Juha Jylhä, Minna Väilä and Ari Visa (Tampere University of Technology, Finland) 9:30 ISAR Image Autofocus Using 2D-Polynomials Antonio Cantoni (The University of Western Australia, Australia); Marco Martorella (University of Pisa, Italy) 9:50 Incoherent Fusion of 3D InISAR Images Using Multi-temporal and Multi-static Data Federica Salvetti and Elisa Giusti (CNIT-RaSS, Italy); Daniele Staglianò (University of Pisa & National Inter-University Consortium for Telecommunications (CNIT), Italy); Marco Martorella (CNIT-RaSS/University of Pisa, Italy) 220: Radar Waveforms I Room: Commonwealth D Chairs: Alfonso Farina (IEEE AESS BoG VP Industry Relations, Italy), Brian Rigling (Wright State University, USA) 8:30 Ambiguity-Based Classification of Phase Modulated Radar Waveforms Anthony Buchenroth (Booz Allen Hamilton, USA); Brian D Rigling (Wright State University, USA); Vasu Devan Chakravarthy (Air Force Research Laboratory, USA) 8:50 Impact of Even and Odd Order Non-linearity on PMCW Radars Ubaid Ahmad (Katholieke University of Leuven & IMEC, Belgium); Davide Guermandi, Alaa Medra, Wim Van Thillo and Andre Bourdoux (IMEC, Belgium) 9:10 Fast Gradient Descent for Multi-Objective Waveform Design Brian O'Donnell and John Michael Baden (Georgia Tech Research Institute, USA) 78
9:30 Efficient, Unified Architecture for Modern Multi-Channel Digital Radar Processing Thomas Dan (SRC inc, USA) 9:50 Multi-Dimensional Mismatch Filter Design Optimization for Radar Waveforms William Blake (Garmin International, USA)
Wednesday, May 4, 10:10 - 10:50 302: Poster Session Wed AM Room: Millennium Hall Isolating Target Return From Reflections Via Doppler Differentiation Ravi Kadlimatti and Adly T. Fam (University at Buffalo, USA) A Gradient Descent Implementation of Adaptive Pulse Compression Patrick McCormick and Shannon D Blunt (University of Kansas, USA); Thomas Higgins (Naval Research Lab, USA) Super-resolution for Bistatic Distortion Mitigation Davide Cataldo and Marco Martorella (University of Pisa, Italy) Ambiguity Function for Distributed MIMO Radar Systems Christos V. Ilioudis and Carmine Clemente (University of Strathclyde, United Kingdom); Ian Proudler (Loughborough University, United Kingdom); John J Soraghan (University of Strathclyde, United Kingdom) Bistatic ISAR Imaging Based on Phase Synchronization with Fiber Optic Link Jie Tian (Institute of Electronic Engineering, China Academy of Engineering Physics & University of Colorado at Boulder, USA); Yongsheng Cheng and Nan Xie (Institute of Electronic Engineering, China Academy of Engineering Physics, P.R. China); Dong Hou (University of Colorado Boulder, USA) Radio Frequency Interference Suppression in Ultra-wideband Synthetic Aperture Radar Using Range-Azimuth Sparse and Low-rank Model Sonia Joy (Johns Hopkins University, USA); Lam Nguyen (Army Research Laboratory, USA); Trac D. Tran (Johns Hopkins University, USA) Exploitation of Noise Radar Waveforms Dynamic Range Improvement Janusz S. Kulpa, Łukasz Maślikowski, Mateusz Malanowski and Krzysztof S Kulpa (Warsaw University of Technology, Poland) Low SNR Track Detection with OTHR Based on a Refraction Model Kevin Romeo, Yaakov Bar-Shalom and Peter Willett (University of Connecticut, USA) Radar Fall Motion Detection Using Deep Learning Branka Jokanovic, Moeness G. Amin and Fauzia Ahmad (Villanova University, USA)
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A Recursive Approach for Adaptive Parameters Selection in A Multifunction Radar Mohammed Alahmadi, Graeme Smith and Christopher Baker (The Ohio State University, USA) ESPRIT Algorithm for Coexistence of Circular and Noncircular Signals in Bistatic MIMO Radar Xuan Yang, Guimei Zheng and Jun Tang (Tsinghua University, P.R. China) Optimizing Sparse Allocation for Radar Spectrum Sharing Peng Seng Tan (University of Kansas & Radar Systems Laboratory, USA); James Stiles and Shannon D Blunt (University of Kansas, USA) Alternative Approaches to Data Compression for Distributed Detection Fuat Cogun and Steven Kay (University of Rhode Island, USA) Baseband Version of the Bat-Inspired Spectrogram Correlation and Transformation Receiver Krasin Georgiev (Cranfield University, United Kingdom); Alessio Balleri (Cranfield University, Defence Academy - College of Management and Technology, United Kingdom); Andy Stove (Stove Specialties & University of Birmingham, United Kingdom); Marc Holderied (University of Bristol, United Kingdom) Receive-beam Allocation for Multiple Target Tracking with Distributed MIMO Radar Systems Mingchi Xie (University Of Electronic Science And Technology Of China, P.R. China); Wei Yi (University of Electronic Science and Technology of China, P.R. China); Thia Kirubarajan (McMaster University, Canada); Lingjiang Kong (University of Electronic Science and Technology of China (UESTC), P.R. China) Multi-target Localization Using Frequency Diverse Coprime Arrays with Coprime Frequency Offsets Si Qin (Villanova University, USA); Yimin D. Zhang (Temple University, USA); Moeness G. Amin (Villanova University, USA) Effects of Radio Frequency Interference Mitigation Strategies on Meteorological Data John Lake (University of Oklahoma & Advanced Radar Research Center, USA); Mark Yeary (University of Oklahoma, USA); Chris Curtis (National Oceanic and Atmospheric Administration, USA) Multi-Carrier MIMO Radar: A Concept of Sparse Array for Improved DOA Estimation Michael Ulrich and Bin Yang (University of Stuttgart, Germany) Markov Chain Monte Carlo Method for Joint TDOA and FDOA Estimation Yongsheng Zhao, Yongjun Zhao and Chuang Zhao (Zhengzhou Institute of Information Science and Technology, P.R. China)
Wednesday, May 4, 10:50 - 12:30 210: MIMO I Room: Commonwealth A
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Chairs: Antonio De Maio (University of Naples "Federico II", Italy), Alexander M. Haimovich (New Jersey Institute of Technology, USA) 10:50 A New MIMO Clutter Model for Cognitive Radar Joseph R. Guerci (Information Systems Laboratories, Inc. USA, USA); Jamie Bergin (ISL, USA); Raymond Guerci and Maxim Khanin (Information Systems Laboratories, Inc. USA, USA); Muralidhar Rangaswamy (AFRL, USA) 11:10 MIMO Radar and Communication Spectrum Sharing with Clutter Mitigation Bo Li and Athina Petropulu (Rutgers, The State University of New Jersey, USA) 11:30 Long-CPI MIMO SAR Based GMTI Christopher D Gianelli, Luzhou Xu and Jian Li (University of Florida, USA) 11:50 Sub-Nyquist Collocated MIMO Radar in Time and Space David Cohen and Deborah Cohen (Technion - Israel Institute of Technology, Israel); Yonina C. Eldar (Technion-Israel Institute of Technology, Israel); Alexander M. Haimovich (New Jersey Institute of Technology, USA) 12:10 Minimum Statistical Dispersion Beamforming for MIMO Radar Xue Jiang and Daniel W. Bliss (Arizona State University, USA) 106: Passive Radar IV Room: Commonwealth B Chairs: Hugh Griffiths (University College London, United Kingdom), Yimin D. Zhang (Temple University, USA) 10:50 Cramer-Rao Type Bounds for Sparsity-Aware Multi-Target Tracking in Multi-Static Passive Radar Saurav Subedi (Villanova University, USA); Yimin D. Zhang (Temple University, USA); Moeness G. Amin (Villanova University, USA); Braham Himed (AFRL, USA) 11:10 Distributed Multipath Effects with Passive Radar Joseph L Garry and Graeme Smith (The Ohio State University, USA) 11:30 Digital Demodulation of DTV Signals for Passive Radar Application Weiwei Sun (University of Washington at Seattle, USA); John Sahr and Tony Goodson (University of Washington, USA) 11:50 Tomography Using Digital Broadcast Television - Flight Test and Interim Results Daniel Sego (University College London & The Boeing Company, USA); Hugh Griffiths (University College London, United Kingdom) 12:10 Advanced Multipath Clutter Cancellation in OFDM-Based Passive Radar Systems Christoph Schwark (Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR, Germany); Diego Cristallini (Fraunhofer FHR, Germany)
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222: SAR I Room: Commonwealth C Chairs: Ali Khenchaf (ENSTA Bretagne & LAB-STICC UMR CNRS 6285, France), Paul A. Rosen (Jet Propulsion Laboratory, USA) 10:50 High Resolution Digital Radar Design Using Chaotic AM Signals Berenice Verdin and Patrick Debroux (Army Research Laboratory, USA); Benjamin Flores and Chandra Pappu (UTEP, USA) 11:10 Compact 3D Imaging Radar Based on FMCW Driven Frequency-Scanning Antennas Thomas Geibig and Alex Shoykhetbrod (Fraunhofer FHR, Germany); Alexander Hommes (FGANFHR, Germany); Reinhold Herschel and Nils Pohl (Fraunhofer FHR, Germany) 11:30 Video-SAR Using Higher Order Taylor Terms for Differential Range Robert Linnehan and Edward Bishop (General Atomics Aeronautical Systems, Inc., USA); Armin W Doerry (Sandia National Laboratories & University of New Mexico, USA) 11:50 An Azimuth-Variant Autofocus Scheme of Bistatic Forward-Looking Synthetic Aperture Radar Yulin Huang (University of Electornic Science and Technology of China, P.R. China); Wei Pu (School of Electronic Engineering, UESTC, P.R. China); Junjie Wu (University of Electronic Science and Technology of China (UESTC), P.R. China); Jianyu Yang (School of Electronic Engineering, P.R. China); Youxin Lv (University of Electronic Science and Technology of China, P.R. China) 12:10 Coherent Ground Mapping of Polar Format Images with Applications to High-Resolution Wide-Area SAR Imaging Joshua Kantor and Gerald Benitz (MIT Lincoln Laboratory, USA) 221: Radar Waveforms II Room: Commonwealth D Chairs: Raviraj Adve (University of Toronto, Canada), Richard Pedersen (Lockheed Martin, USA) 10:50 Performance Evaluation of Practical MIMO Radar Waveforms Hongbo Sun, Caicai Gao and Kah Chan Teh (Nanyang Technological University, Singapore) 11:10 Joint Equalization Filters That Mitigate Waveform-Diversity Modulation of Clutter Alan O'Connor and Joshua Kantor (MIT Lincoln Laboratory, USA); John Jakabosky (University of Kansas, USA) 11:30 Chirp Diversity Waveform Design and Detection by Stretch Processing Amro Lulu and Bijan G. Mobasseri (Villanova University, USA) 11:50 IMPACT - A Common Building Block to Enable Next Generation Radar Arrays Ted Hoffmann (Rockwell Collins, USA); Caleb Fulton, Mark Yeary, Dan Thompson and Austin Saunders (University of Oklahoma, USA); Boris Murmann (Stanford University, USA); Bill Chen (Stanford University, Canada); Alex Guo (Stanford University, P.R. China)
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12:10 Range Information for Reducing Fall False Alarms in Assisted Living Baris Erol and Moeness G. Amin (Villanova University, USA); Jun Zhang and Zhichong Zhou (University of Denver, USA)
Wednesday, May 4, 13:30 - 15:10 211: MIMO II Room: Commonwealth A Chairs: Gordon Frazer (Defence Science Technology Group, Australia), Joseph R. Guerci (Information Systems Laboratories, Inc. USA, USA) 1:30 Analyzing and Improving MIMO Radar Detection Performance in the Presence of Cybersecurity Attacks Hao Chen (Boise State University, USA); Braham Himed (AFRL, USA) 1:50 Phase Code Optimization for Coherent MIMO Radar Via a Gradient Descent Uy Hour Tan (SONDRA & Thales Air Systems, France); Fabien Arlery (Telecom SudParis & Thales Air Systems, France); Claude Adnet (Thales Air Systems, France); Olivier Rabaste (Onera, France); Jean-Philippe Ovarlez (ONERA, France); Jean-Paul Guyvarch (Thales Air Systems, France) 2:10 Coupling Effects in MIMO Phased Array Laurent Savy and Marc Lesturgie (ONERA, France) 2:30 Hybrid-MIMO and Phased Array Receive Signal Processing Marco La Manna and Daniel Fuhrmann (Michigan Technological University, USA) 2:50 Two-step Bayesian Detection for MIMO Radar in Compound-Gaussian Clutter with Gamma Texture Na Li (University of Electronic Science and Technology of China, P.R. China); Guolong Cui (University of Electronic Science and Technology of China (UESTC), P.R. China); Haining Yang and Lingjiang Kong (University of Electronic Science and Technology of China, P.R. China); Qinghuo Liu (Duke University, USA) 203: Bistatic/Multistatic Radar Room: Commonwealth B Chairs: Daniel Sego (University College London & The Boeing Company, USA), Simon Watts (UCL, United Kingdom) 1:30 Monostatic and Bistatic Radar Measurements of Birds and Micro-Drone Matthew Ritchie, Francesco Fioranelli and Hugh Griffiths (University College London, United Kingdom); Børge Torvik (Norwegian Defence Research Establishment (FFI), Norway) 1:50 Copolar Calibration of Multistatic Radar in the Presence of Multipath Riccardo Palama' (University of Pisa, Italy); Francesco Fioranelli, Matthew Ritchie and Hugh Griffiths (University College London, United Kingdom); Maria S. Greco and Fulvio Gini (University of Pisa, Italy) 83
2:10 GOMERS: Genetic Optimization of a Multistatic Extended Radar System Alex Lackpour (Lockheed Martin Advanced Technology Laboratories & Drexel University, USA); Kevin Proska (Drexel University, USA) 2:30 Bistatic Space-Debris Surveillance Radar Stéphane Saillant (ONERA - The French Aerospace Lab, France) 2:50 Accuracy Studies for TDOA-AOA Localization of Emitters with a Single Sensor Romain Giacometti (ENSTA Bretagne / Lab-STICC & Thales Systèmes Aéroportés, France); Alexandre Baussard (ENSTA Bretagne, France); Cédric Cornu (Thales Systèmes Aéroportés, France); Ali Khenchaf (ENSTA Bretagne & LAB-STICC UMR CNRS 6285, France); Daniel Jahan (Thales Systèmes Aéroportés, France); Jean Michel Quellec (Thales Airborne Systems, France) 223: SAR II Room: Commonwealth C Chairs: Margaret Cheney (Colorado State University, USA), Armin W Doerry (Sandia National Laboratories & University of New Mexico, USA) 1:30 Polarimetric RotoSAR Massimiliano Pieraccini (University of Florence, Italy) 1:50 Large Area Land Cover Mapping Based on Pyramid Transformation with High-Resolution PolSAR Image Bin Zou (Harbin Institute of Technology, P.R. China); Jiamei Sun (Harbin Institution of Technology & Electronic and Information Engineering, P.R. China); Yijia Jin (Harbin Institute of Technology, P.R. China); Yan Cheng (Product Quality Supervision and Inspection Institute of Harbin, P.R. China) 2:10 Premier Results of the Multi-Rotor Based FMCW Synthetic Aperture Radar System Wei Xian Liu (Nanyang Technological University, Singapore); Hongchuan Feng (Temasek Laboratories, Nanyang Technological University, Singapore) 2:30 3-D Path Planning for GEO-UAV Bistatic SAR Using Multiobjective Evolutionary Algorithms Zhichao Sun (UESTC, P.R. China); Junjie Wu (University of Electronic Science and Technology of China (UESTC), P.R. China); Jianyu Yang (School of Electronic Engineering, P.R. China); Yulin Huang (University of Electronic Science and Technology of China, P.R. China); Haiguang Yang (University of Electronic Science and Technology of China (UESTC), P.R. China); Caipin Li and Dongtao Li (China Academy of Space Technology, Xian Branch, P.R. China) 111: Waveform Diversity Room: Commonwealth D Chairs: Shannon D Blunt (University of Kansas, USA), Audrey Paulus (Georgia Institute of Technology, USA)
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1:30 Radar Waveform Design with Multiple Spectral Compatibility Constraints Augusto Aubry (Universita degli studi di Napoli, Italy); Vincenzo Carotenuto (University of Naples Federico II, Italy); Antonio De Maio (University of Naples "Federico II", Italy) 1:50 A Fast-time Coding Waveform Design Method and a Bound on Cross-correlation Aifei Liu (Nanyang Technological University, Singapore); Chris Baker (Aveillant, United Kingdom); Kah Chan Teh, Caicai Gao and Hongbo Sun (Nanyang Technological University, Singapore) 2:10 Radar Ambiguity Functions and Resolution Characteristics of Sudoku-based Waveforms Ram M Narayanan, Travis D Bufler and Brandon Leshchinskiy (The Pennsylvania State University, USA) 2:30 Analysis of Random Pulse Repetition Interval Radar Jieli Zhu (Radar Research (Beijing), Leihua, Electronic Technology Institute, AVIC & Aviation Key Laboratory of Science and Technology on AISSS, P.R. China); Tong Zhao (AVIC, P.R. China); Tianyao Huang and Dengfeng Zhang (RAVIC, P.R. China) 2:50 A Frequency Diversity Pulse-Pair Algorithm for Extending Doppler Radar Velocity Nyquist Range Vijay Subbaraman Venkatesh (National Aeronautics and Space Administration & Science Systems and Applications Inc., USA); Lihua Li, Matthew McLinden, Gerald Heymsfield and Michael Coon (National Aeronautics and Space Administration, USA)
Wednesday, May 4, 15:10 - 15:50 303: Poster Session Wed PM Room: Millennium Hall Modified Multiple-Measurement Vector Model for SAR Imaging Yichang Chen and Gang Li (Tsinghua University, P.R. China); Qun Zhang (Institute of Telecommunication Engineering, AFEU, P.R. China) Detection and Sensitivity Analysis of Compressed Sensing Electronic RF Receiver Ethan Lin and Chien-In Henry Chen (Wright State University, USA); Lih-Yeh Liou and David Lin (WPAFB AFRL/RYDR, USA) A Parameter Estimation Approach to Target Length Determination David Smart (Raytheon Company, USA); Arjang Noushin (Raytheon, USA) Analysis for Integration Time and Resolution in Geosynchronous SAR Bin Hu (No. 92 Xidazhi Street & Harbin Institute of Technology, P.R. China); YIcheng Jiang, Zhang Yun and Xiaohui Zhao (Harbin Institute of Technology, P.R. China); Tat Soon Yeo (National University of Singapore, Singapore) Estimation of the Micro-motion Parameters of a Missile Warhead Using a Micro-Doppler Profile In O Choi (Pohang university of science and technology(POSTECH), Korea); Sang-Hong Park (Pukyong National University, Korea); Si Ho Kim (Agency for Defense Development, Korea); 85
Seong-Hyeon Lee (Pohang University of Science and Technology, Korea); Kyung-Tae Kim (Pohang University of Science and Technology (POSTECH), Korea) Track Fusion with Incomplete Information for Automotive Smart Sensor Systems Ting Yuan (Mercedes-Benz R&D, USA); Bharanidhar Duraisamy, Tilo Schwarz and Martin Fritzsche (Daimler AG, Germany) Classification of Human Motion Using Radar Microdoppler Signatures with Hidden Markov Models Mehmet Padar and Ali Ertan (Aselsan Inc., Turkey); Cagatay Candan (METU, Turkey) An Lp-based Reconstruction Algorithm for Compressed Sensing Radar Imaging Le Zheng and Arian Maleki (Columbia University, USA); Quanhua Liu (Beijing Institute of Technology, P.R. China); Xiaodong Wang (Columbia University, USA); Xiaopeng Yang (Beijing Institute of Technology, P.R. China) Efficient Reconstruction of Subsurface Elliptical-Cylindrical Targets Using Evolutionary Programming Maryam Hajebi and Ahmad Hoorfar (Villanova University, USA) Hyperbolically-Warped Cepstral Coefficients for Improved Micro-Doppler Classification Baris Erol (Villanova University, USA); Sevgi Z Gurbuz (TOBB University of Economics and Technology & TUBITAK Space Technologies Research Institute, Turkey) Inter-Pulse Frequency and Code Diversity for Range Correlation Sidelobe Suppression Zhineng Mao (Harbin Institute Of Technology, P.R. China); Wei Yinsheng (Harbin Institute of Technology, P.R. China) Total Rotational Velocity Estimation Using 3D Interferometric ISAR with Squint Geometry Brian Ng (University of Adelaide, Australia); Hai Tan Tran (Defence Science and Technology Group, Australia); An Phan (University of Adelaide, Australia) Multipath Ghosts Location and Sub-aperture Based Suppression Algorithm for TWIR Dong Yan (University of Electronic Science and Technology of China, P.R. China); Guolong Cui (University of Electronic Science and Technology of China (UESTC), P.R. China); Shisheng Guo (University Of Electronic Science And Technology Of China, P.R. China); Lingjiang Kong and Xiaobo Yang (University of Electronic Science and Technology of China, P.R. China); Tianqi Liu (University of Electronic Science And Technology of China, P.R. China) Application of Gaussian Beam Summation Method in High-Frequency RCS of Complex Radar Targets Papa Ousmane Leye (Lab-STICC UMR CNRS 6285, ENSTA Bretagne, France); Ali Khenchaf (ENSTA Bretagne & LAB-STICC UMR CNRS 6285, France); Pouliguen Philippe (DGA, France) Enhancing Spectrum Coexistence Using Radar Waveform Diversity Mark Govoni (Army, USA) On Model Order Estimation in Distributed Passive Radar Without Reference Signal Saad Elgayar (OSU, Ohio State University, USA); Emre Ertin (The Ohio State University, USA) 86
Resource Adaptive Search for a Moving Target David Gavelek (Lockheed Martin, USA) Coherent Integration with Backprojected Images for Near Field Moving Target Jiang Qian (University of Electronic Science and Technology of China, P.R. China) Time-Invariant Transmit Beampattern Synthesis Via Weight Design for FDA Radar Huai-zong Shao, Xiong Li, Wen-Qin Wang, Jie Xiong and Hui Chen (University of Electronic Science and Technology of China, P.R. China) RFI-Radar Signal Separation Via Simultaneous Low-rank and Sparse Recovery Lam Nguyen (Army Research Laboratory, USA); Trac D. Tran (Johns Hopkins University, USA)
Wednesday, May 4, 15:50 - 17:30 103: Automotive Radar Room: Commonwealth A Chairs: Igal Bilik (General Motors, Israel), Mikhail Cherniakov (University of Birmingham, United Kingdom) 3:50 Automotive Radar the Key Technology for Autonomous Driving: From Detection and Ranging to Environmental Understanding Juergen Dickmann (Daimler AG, Germany); Alfons Sailer (DAIMLER AG, Germany); Jens Klappstein (Daimler AG, Germany); Nils Appenrodt (DAIMLER AG, Germany); Klaudius Werber and Hans-Ludwig Bloecher (Daimler AG, Germany) 4:10 Automotive MIMO Radar for Urban Environments Igal Bilik (General Motors, Israel); Oded Bialer (University of Tel-Aviv, Israel); Shahar Villeval (General Motors & General Motors, Israel); Hasan Sharifi (HRL Labs, USA); Keerti Kona (HRL Laboratories, USA); Marcus Pan, Dave Persechini and Marcel Musni (HRL, USA); Kevin Geary (HRL Laboratories, USA) 4:30 Joint Antenna-Array Calibration and Direction of Arrival Estimation for Automotive Radars Ikram Muhammad, Murtaza Ali and Dan Wang (Texas Instruments, Inc., USA) 4:50 Signal Reduction Due to Radome Contamination in Low-THz Automotive Radar Fatemeh Norouzian (University of Birmingham, United Kingdom); Rui Du (Northwestern Polytechnical University, P.R. China); Marina S. Gashinova (University of Birmngham, United Kingdom); Edward Hoare, Costas Constantinou, Mike Lancaster, Peter Gardner and Mikhail Cherniakov (University of Birmingham, United Kingdom) 5:10 Cognitive Antenna Selection for DOA Estimation in Automotive Radar Joseph Tabrikian and Omri Isaacs (Ben-Gurion University of the Negev, Israel); Igal Bilik (General Motors, Israel) 112: Tracking Room: Commonwealth B 87
Chairs: Paul Kalata (Drexel University, USA), Joshua Kantor (MIT Lincoln Laboratory, USA) 3:50 Game Theoretic Data Association for Multi-target Tracking with Varying Number of Targets Abdullahi Daniyan, Yu Gong and Sangarapillai Lambotharan (Loughborough University, United Kingdom) 4:10 Use of Range-Rate Measurements in Automatic Track Formation Benjamin Davis (Georgia Tech & GTRI, USA); William Dale Blair (Georgia Institute of Technology & Georgia Tech Research Institute, USA) 4:30 Tracking of a Naval Target with a Dual-band Photonic-based Coherent Radar System Filippo Scotti (CNIT, Italy); Daniel Onori (Scuola Superiore Sant'Anna, Italy); Antonella Bogoni and Francesco Laghezza (CNIT, Italy) 4:50 LPI Based Resource Management for Target Tracking in Distributed Radar Network Chenguang Shi, Jianjiang Zhou and Fei Wang (Nanjing University of Aeronautics and Astronautics, P.R. China) 224: SAR III Room: Commonwealth C Chairs: Jerry Nespor (Lockheed Martin, USA), Evan C. Zaugg (ARTEMIS, Inc. & Brigham Young University, USA) 3:50 Local Detection of Moving Target by Focusing in SAR Images Vu Viet Thuy and Mats Pettersson (Blekinge Institute of Technology, Sweden); Thomas K Sjögren (Swedish Defence Research Agency, Sweden) 4:10 Exploiting Temporal Proximity for Moving Target Identification Using Bistatic/Passive SAR Ke Yong Li (C & P Technologies, Inc., USA); Unnikrishna Pillai (New York University, USA); Braham Himed (AFRL, USA) 4:30 NISAR L-band Digital Electronics Subsystem - A Multichannel System with Distributed Processors for Digital Beam Forming and Mode Dependent Filtering Chung-Lun Chuang, Scott Shaffer, Noppasin Niamsuwan, Samuel Li, Eric Liao, Chester Lim, Vu Duong, Kenneth Vines, Muh-Wang Yang, Barry Volain and Kevin Wheeler (Jet Propulsion Laboratory, USA) 4:50 Daily Monitoring of the Mediterranean See by Geosynchronous SAR Hans M Braun (INS University of Stuttgart & RST Radar Systemtechnik AG, Switzerland); Holger Baessler (RST Radar Systemtechnik GmbH, Germany); Carsten Jonas (Radar Systemtechnik GmbH, Germany) 5:10 Differential Interferometric SAR At Multiple Frequencies Over the Slumgullion Earthflow Evan C. Zaugg and Joshua Bradley (ARTEMIS, Inc., USA); Hyongki Lee and Ning Cao (University of Houston, USA) 208: Estimation & Extraction Room: Commonwealth D 88
Chairs: Ingar Blosfelds (Lockheed Martin, USA), Steve Kogon (MIT - Lincoln Laboratory, USA) 3:50 Active Contour Extraction Method for Objects with a Rough Surface Using Single-chip FMCW Radars Dilyan Damyanov (University of Duisburg-Essen, Germany); Benedikt Friederich (Universitn, Germany); Thorsten Schultze (Universität Duisburg-Essen, Germany); Ingolf Willms (University Duisburg-Essen, Germany); Rahmi Salman (HF Systems Engineering GmbH & Co. KG & Hübner Holding GmbH, Germany); Jan Barowski and Ilona Rolfes (Ruhr-Universität Bochum, Germany) 4:10 Weighted Filtering of Monopulse Signals Claudio A Hartzstein (Israel Aerospace Industries, Israel) 4:30 Method and System for Analyzing Ballistic Trajectories Richard Pedersen and Stanley Viss (Lockheed Martin, USA) 4:50 Blind Interception of Phase Coded Signals Adly T. Fam and Ravi Kadlimatti (University at Buffalo, USA) 5:10 Experimental Results on Focusing Moving Targets in TerraSAR-X and TanDEM-X Images Vu Viet Thuy and Mats Pettersson (Blekinge Institute of Technology, Sweden); Thomas K Sjögren (Swedish Defence Research Agency, Sweden)
Thursday, May 5 Thursday, May 5, 08:30 - 10:10 101: Classification I Room: Commonwealth A Chairs: Victor C. Chen (Consultant & Ancortek Inc, USA), David Tahmoush (US Army Research Laboratory, USA) 8:30 Using an Information-Theoretic Sensor Placement Algorithm to Assess Classifier Robustness John Wilcher (Georgia Tech Research Institute, USA); Aaron Lanterman (Georgia Tech, USA); William L. Melvin (Georgia Tech Research Institute, USA) 8:50 Micro-Motion Signatures in Radar Angular Velocity Measurements Jeffrey Nanzer (Johns Hopkins University Applied Physics Lab., USA) 9:10 Micro-Motion Signatures of Large Wind Turbines: Case Study Using a Mobile Weather Rada Fanxing Kong, Yan Zhang and Robert Palmer (University of Oklahoma, USA) 9:30 Micro-Doppler Based Detection and Tracking of UAVs with Multistatic Radar Folker Hoffmann (Fraunhofer FKIE, Germany); Matthew Ritchie and Francesco Fioranelli (University College London, United Kingdom); Alexander Charlish (Fraunhofer FKIE, Germany); Hugh Griffiths (University College London, United Kingdom)
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9:50 Accuracy Analysis of Short-Range Doppler Shift Target Localization Using a Multi-Sensor Platform Thomas J. Mittermaier, Uwe Siart and Thomas F. Eibert (Technische Universität München, Germany) 107: RF Interference Room: Commonwealth B Chairs: Mark Govoni (Army, USA), Anthony Martone (US Army Research Laboratory, USA) 8:30 Generation of Synthetic UHF RFI in Urban North American Environments Aaron Jones (Air Force Research Laboratory Sensors Directorate, USA); Brian D Rigling (Wright State University, USA); Muralidhar Rangaswamy (AFRL, USA) 8:50 Waveform Design for Coherent MIMO Radar Radiation Management and Transmit-Receive Beam Refocusing Zhe Geng and Hai Deng (Florida International University, USA); Braham Himed (AFRL, USA) 9:10 Joint Spectrum/Beampattern Design of Wideband FM MIMO Radar Emissions Patrick McCormick and Shannon D Blunt (University of Kansas, USA); Justin G Metcalf (Air Force Research Laboratory, USA) 9:30 Genetic Algorithm for Adaptable Radar Bandwidth Anthony Martone (US Army Research Laboratory, USA); Kenneth Ranney and Kelly Sherbondy (Army Research Laboratory, USA) 9:50 Energy-Budget Analysis of a 2-D High-Frequency Radar Incorporating Optimum Beamforming Gordon Frazer (Defence Science Technology Group, Australia); Charlie Williams (Gadzooks Pty. Ltd., Australia); Heath Yardley (Defence Science Technology Group, Australia) 105: Compressive Radar Room: Commonwealth C Chairs: Laura Anitori (TNO, The Netherlands), Marco Martorella (University of Pisa, Italy) 8:30 Reduced Time-on-Target in Pulse Doppler Radar: Slow Time Domain Compressed Sensing Deborah Cohen (Technion - Israel Institute of Technology, Israel); Yonina C. Eldar (Technion-Israel Institute of Technology, Israel) 8:50 Compressed Sensing mm-Wave SAR for Non-Destructive Testing Applications Using Side Information Mathias Becquaert (Royal Military Academy & Vrije Universiteit Brussel, Belgium); Edison Cristofani (Royal Military Academy, Belgium); Gokarna Pandey (VUB, Belgium); Marijke Vandewal (Royal Military Academy, Belgium); Johan Stiens (VUB, Belgium); Nikos Deligiannis (Vrije Universiteit Brussel, Belgium) 9:10 Parametric Dictionary Learning for TWRI Using Distributed Particle Swarm Optimization Haroon Raja and Waheed U. Bajwa (Rutgers University, USA); Fauzia Ahmad and Moeness G. Amin (Villanova University, USA) 90
9:30 Recovery Guarantees for MIMO Radar Using Multi-Frequency LFM Waveform Nithin Sugavanam and Emre Ertin (The Ohio State University, USA) 9:50 Phase Recovery for 3D SAR Range Focusing Mehrdad Yaghoobi (University of Edinburgh, United Kingdom); Shaun Kelly (Blackmagic Design, Australia); Mike Davies (University of Edinburgh, United Kingdom) 204: Detection I Room: Commonwealth D Chairs: Maria S. Greco (University of Pisa, Italy), Daniel Thomas (SRC, Inc., USA) 8:30 Model Based Coherent Detection in Medium Grazing Angle Sea-Clutter Luke Rosenberg (DSTO & University of Adelaide, Australia); Simon Watts (UCL, United Kingdom) 8:50 Target Detection in Sea Clutter Using Resonance Based Signal Decomposition Brian Ng (University of Adelaide, Australia); Luke Rosenberg (DSTO & University of Adelaide, Australia); Si Tran Nguyen Nguyen (University of Adelaide, Australia) 9:10 Polarisation Influence on Sea Clutter Properties and Radar Detection Performance in Xband for Low Grazing Angles Vincent Meslot (Thales Airborne Systems, France); Vincent Corretja (Thales Systèmes Aéroportés, France); Stephane Kemkemian (THALES AIRBORNE SYSTEMS, France); Jean Michel Quellec and Richard Montigny (Thales Airborne Systems, France); Christian Cochin (DGA MI - French MoD, France) 9:30 Non-Fluctuating Target Detection in Fluctuating K-Distributed Interference and Noise Yuri Abramovich (W R Systems, Ltd, USA); Geoffrey San Antonio (US Naval Research Laboratory, USA)
Thursday, May 5, 10:10 - 10:50 304: Poster Session Thur AM Room: Millennium Hall Cognitive Target Tracking Using FDA Radar for Increased SINR Performance Zhe Wang, Wen-Qin Wang and Jie Xiong (University of Electronic Science and Technology of China, P.R. China) Radar Detection of Swerling 3 Target in G0-distributed Clutter Via Track-Before-Detect Haichao Jiang, Wei Yi, Lingjiang Kong, Xiaobo Yang and Binbin He (University of Electronic Science and Technology of China, P.R. China) Radon-Generalized Ambiguity Function and Its Application for Maneuvering Target Detection Xiaolong Li and Wei Yi (University of Electronic Science and Technology of China, P.R. China); Guolong Cui (University of Electronic Science and Technology of China (UESTC), P.R. China); Lingjiang Kong (University of Electronic Science and Technology of China, P.R. China)
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Flexible Dual-band Antenna for Communication and Radar Applications Chong Hyun Lee, Jinho Bae, Arshad Hassan and Shawkat Ali (Jeju National University, Korea); Jung Hong Cho and Hoe Yong Kim (Hanwha Gumi Plant, Korea) Unambiguous SAR Imaging Algorithm Via Spotlight Mode for Multichannel SAR Systems Xiaojiang Guo and Yesheng Gao (Shanghai Jiao Tong University, P.R. China); Kaizhi Wang (Shanghai Jiaotong University, P.R. China); Xingzhao Liu (Shanghai Jiao Tong University, P.R. China) Optimal Waveform Design Oriented Toward Cognitive Radar in Fractional Fourier Domain Xiaowen Zhang (Shanghai Jiao Tong University, P.R. China); Kaizhi Wang (Shanghai Jiaotong University, P.R. China); Yesheng Gao and Xingzhao Liu (Shanghai Jiao Tong University, P.R. China) A RCS Model of Complex Targets for Radar Performance Prediction Minna Väilä, Juha Jylhä, Ville Väisänen, Henna Perälä and Ari Visa (Tampere University of Technology, Finland); Mikko Harju and Kai Virtanen (Aalto University, Finland) Non-Linear Modeling and Analysis of A Solid State Transmitter and Receiver for Electronic Scan Phased Array Radar Ziad Hussein and Shawn Yoder (Lockheed Martin Corporation, USA); Peter Fox, Jr (Lockheed Martin MS2, USA) Training-based Adaptive Transmit-Receive Beamforming for Random Phase Radar Signals Mahdi Shaghaghi and Raviraj Adve (University of Toronto, Canada) Mitigation of Saturation in Adaptive Clutter Cancellation Alfonso Farina (IEEE AESS BoG VP Industry Relations, Italy); Roberto Petrucci (Finmeccanica, Italy); Chengpeng Hao and Bo Shi (Institute of Acoustics, Chinese Academy of Sciences, P.R. China); Danilo Orlando (Universita' degli Studi Niccolo' Cusano, Italy) A Trajectory Simulator for Individual Movements Using Probabilistic Distribution Profiles Victor Frencl and Joao do Val (UNICAMP - Universidade Estadual de Campinas, Brazil) Ground Moving Target Indication and Motion Parameter Estimation for High-Resolution WideSwath SAR System Hongchao Zheng, Junfeng Wang and Xingzhao Liu (Shanghai Jiao Tong University, P.R. China) The Effect of Moving Target on Range-Doppler Map and Backprojection Algorithm for Focusing Faruk Uysal and Nathan A Goodman (University of Oklahoma, USA) Estimation and Cancellation of High Powered Radar Interference for Communication Signal Collection Geoffrey Meager, Ric Romero and Zachary Staples (Naval Postgraduate School, USA) Using Emitters of Opportunity to Enhance Track Georegistration in OTHR Giuseppe Fabrizio (Defence Science and Technology Group, Australia); Alexandre Zadonyanchuk (University of Adelaide, Australia); David Francis (DSTO Australia, Australia); Van Nguyen (DSTO, Australia) 92
Sparsity-Based Frequency-Hopping Spectrum Estimation with Missing Samples Shengheng Liu (Beijing Institute of Technology, P.R. China); Yimin D. Zhang (Temple University, USA); Tao Shan (Beijing Institute of Technology, P.R. China) A Robust Colored-Loading Factor Optimization Approach for Knowledge-Aided STAP Shengmiao Zhang (School of Electronic Engineering, University of Electronic Science and Technology, P.R. China); Zishu He, Jun Li and Yikai Wang (University of Electronic Science and Technology of China, P.R. China) A Minimum-Entropy Based Residual Range Cell Migration Correction for Bistatic ForwardLooking SAR Wei Pu (University of Electronic Science and Technology of China, P.R. China); Yulin Huang (University of Electornic Science and Technology of China, P.R. China); Junjie Wu, Jianyu Yang, Wenchao Li and Haiguang Yang (University of Electronic Science and Technology of China, P.R. China) Multistatic CFAR Detection in non-Gaussian Clutter Riccardo Palama', Maria S. Greco and Fulvio Gini (University of Pisa, Italy)
Thursday, May 5, 10:50 - 12:30 102: Classification II Room: Commonwealth A Chairs: Gerard Titi (Systems and Technology Research, USA), Michael Wicks (University of Dayton Research Institute, USA) 10:50 Introduction of Low Probability of Recognition to Radar System Classification Johannes Rossouw van der Merwe, Warren du Plessis and Francois Maasdorp (Council for Scientific and Industrial Research (CSIR), South Africa); Jacques Cilliers (CSIR, South Africa) 11:10 Classification of Ships Using Real and Simulated Data in a Convolutional Neural Network Nina Ødegaard (Norwegian Defence Research Establishment (FFI), Norway); Atle Onar Knapskog (Norwerian Defence Research Establishment (FFI), Norway); Christian Cochin and JeanChristophe Louvigné (DGA MI - French MoD, France) 11:30 Deep Learning for HRRP-based Target Recognition in Multistatic Radar Systems Jarmo Lundén (Aalto University School of Electrical Engineering, Finland); Visa Koivunen (Aalto University, Finland) 11:50 Human Gait Extraction From Short and Sparse Radar Dwells Jean E Piou (MIT, USA) 12:10 Pol-SAR Classification Based on Symmetric Polar Decomposition of Mueller Matrix Hanning Wang (National University of Defense Technology, P.R. China); Zhou Zhimin (National University of Denfence Technology, P.R. China); Qian Song (National University of Defense Technology, P.R. China); John Turnbull (University of Birmingham, United Kingdom); Feng Qi (Shenyang Institute of Automation, Chinese Academy of Science, P.R. China)
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202: Antenna Technologies Room: Commonwealth B Chairs: Marshall Greenspan (Consultant, USA), Aboulnasr Hassanien (Villanova University, USA) 10:50 Developments and Breakthroughs in Radars and Phased-Arrays Eli Brookner (Raytheon, USA) 11:10 Direction of Arrival by Non-Coherent Arrays Wei Jiang and Alexander M. Haimovich (New Jersey Institute of Technology, USA); Yonina C. Eldar (Technion-Israel Institute of Technology, Israel) 11:30 Fast Iterative Interpolated Beamforming for High Fidelity Single Snapshot DOA Estimation Elias Aboutanios (University of New South Wales, Australia); Aboulnasr Hassanien and Moeness G. Amin (Villanova University, USA); Abdelhak M Zoubir (Darmstadt University of Technology, Germany) 11:50 Spatially Modulated Metamaterial Array for Transmit (SMMArT) Alessandro Salandrino, Diego Diego J. Chachayma Farfan, Patrick McCormick, Eli Symm and Shannon D Blunt (University of Kansas, USA) 12:10 Transmit and Receive Circular Array Pattern Synthesis for Radar Applications William Dorsey (US Naval Research Laboratory & NRL Radar Division, USA); Dan Scholnik (Naval Research Laboratory, USA) 207: Emerging Applications Room: Commonwealth C Chairs: Yuri Abramovich (W R Systems, Ltd, USA), Peter Willett (University of Connecticut, USA) 10:50 Self-phase Modulation Based Chirp Generator Iurii Zachiniaev and Konstantin Rumyantsev (Southern Federal University, Russia) 11:10 An Improved Reverse Time Migration for Subsurface Imaging in Layered Media Haining Yang, Na Li, Tingjun Li and Zhiming He (University of Electronic Science and Technology of China, P.R. China); Qinghuo Liu (Duke University, USA) 11:30 Automotive Radar the Key Technology for Autonomous Driving: From Detection and Ranging to Environmental Understanding Juergen Dickmann (Daimler AG, Germany) 11:50 Design of CFAR Radars Using Compressive Sensing Haley H. Kim (NJIT, USA); Alexander M. Haimovich (New Jersey Institute of Technology, USA) 205: Detection II Room: Commonwealth D Chairs: Fulvio Gini (University of Pisa, Italy), Dave Ott (Lockheed Martin MST, USA)
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10:50 Analysis of a GLRT for the Detection of an Extended Target Timothee Rouffet (Thales Airborne Systems, France); Eric J. Grivel (Université de Bordeaux, France); Cyrille Enderli and Bernard Joseph (Thales Airborne Systems, France); Stephane Kemkemian (THALES AIRBORNE SYSTEMS, France) 11:10 Distributed Detection with Unknown SNR: Separating Function and GLRT Approaches Ali Ghobadzadeh and Raviraj Adve (University of Toronto, Canada) 11:30 Detection of Low-observable Maneuvering Target Using High-order Generalized Lv's Distribution Xiaolong Chen (Naval Aeronautical and Astronautical University, P.R. China); Jian Guan (Naval Aeronautical Engineering Institute, P.R. China) 11:50 Detection of Maneuvering Target with Complex Motions Based on ACCF and FRFT Xiaolong Li and Wei Yi (University of Electronic Science and Technology of China, P.R. China); Guolong Cui (University of Electronic Science and Technology of China (UESTC), P.R. China); Lingjiang Kong (University of Electronic Science and Technology of China, P.R. China); Zhimin Wang (UESTC, P.R. China); Yi Li (Changchun Institute of Optics, Fine Mechanics and Physics, P.R. China) 12:10 Clustering-CFAR Detector in Heterogeneous Environment Shuping Lu and Wei Yi (University of Electronic Science and Technology of China, P.R. China); Guolong Cui (University of Electronic Science and Technology of China (UESTC), P.R. China); Lingjiang Kong (University of Electronic Science and Technology of China, P.R. China); Kaili Hao (UESTC, P.R. China); Yunhe Cao (Xidian Univ, P.R. China); Binbin He (University of Electronic Science and Technology of China, P.R. China)
Thursday, May 5, 13:30 - 15:10 216: Phenomenology Room: Commonwealth A Chairs: Jerry Nespor (Lockheed Martin, USA), David Zasada (The MITRE Corporation, USA) 1:30 Radar Cross Section Calculation for Subsurface Objects Ang Yu, Osamudiame Idubore and Mihai Dimian (Howard University, USA) 1:50 Measurement Uncertainty and System Assessment of Weather Radar Network in Germany Qing Cao and Michael Knight (Enterprise Electronics Corporation, USA); Michael Frech and Theodor Mammen (Deutscher Wetterdienst (DWD), Germany) 2:10 Study of Inversion EM Models for Wind Speed Retrieval From Sentinel-1 Data Tran Vu La (ENSTA Bretagne, France); Ali Khenchaf (ENSTA Bretagne & LAB-STICC UMR CNRS 6285, France); Fabrice Comblet (ENSTA Bretagne, France); Carole Nahum (Direction Générale de l'Armement, France) 2:30 Design and Preliminary Results of a Ground-Based Cloud Profiling Radar At 94 GHz Gorka Rubio-Cidre (Technical University of Madrid, Spain); Jesús Grajal (Universidad Politécnica de Madrid, Spain); Antonio García-Pino and Oscar Rubiños-López (University of Vigo, Spain) 95
2:50 A New Method of Generating Multivariate Weibull Distributed Data Justin G Metcalf (Air Force Research Laboratory, USA); K. James Sangston (Georgia Tech Research Institute, USA); Muralidhar Rangaswamy (AFRL, USA); Shannon D Blunt (University of Kansas, USA); Braham Himed (AFRL, USA) 201: Antennas and Front Ends Room: Commonwealth B Chairs: Nathan A Goodman (University of Oklahoma, USA), Dan Scholnik (Naval Research Laboratory, USA) 1:30 Wideband Delay-Sum Digital Aperture Using Thiran All-Pass Fractional Delay Filters Arjuna Madanayake, Nilan Udayanga and Viduneth Ariyarathna (University of Akron, USA) 1:50 Sum-Difference Beamforming for Radar Applications Using Circularly Tapered Random Arrays Kristopher Buchanan (SSC-Pacific, USA); Nam Nicholas Mai (Defense, USA); John Rockway and Oren Sternberg (SSC Pacific, USA) 2:10 Antenna Processing Optimization for a Colocated MIMO Radar Asgeir Nysaeter and Harald Iwe (FFI, Norway) 2:30 A Two Stage Beamforming Approach for Low Complexity CFAR Detection and Localization for Passive Radar Georgia Bournaka, Jörg Heckenbach and Aurora Baruzzi (Fraunhofer Institute (FHR), Germany); Diego Cristallini and Heiner Kuschel (Fraunhofer FHR, Germany) 2:50 A Novel Method to Synchronize High-Speed Data Converters Marc Stackler, Etienne Bouin, Rémi Laube and Jérôme Ligozat (E2V, France) 108: Compressive Sampling Room: Commonwealth C Chairs: Lam Nguyen (Army Research Laboratory, USA), Trac D. Tran (Johns Hopkins University, USA) 1:30 Sparse Target Scene Reconstruction for SAR Using Range Space Rotation Ahmed Al Hilli (Rutgers University & Al Furat Al-Awsat Technical University, Iraq., USA); Athina Petropulu (Rutgers, The State University of New Jersey, USA); Laleh Najafizadeh (Rutgers University, USA) 1:50 Indoor Scene Reconstruction for Through-the-Wall Radar Imaging Using Low-Rank and Sparsity Constraints Van Ha Tang (University of Wollongong & School of Electrical, Computer and Telecommunications Engineering, Australia); Abdesselam Bouzerdoum, Son Lam Phung and Fok Hing Chi Tivive (University of Wollongong, Australia) 2:10 Range Doppler Processing Via Fourier Coefficients: The Path to a Sub-Nyquist SAR Kfir Aberman (Technion - Israel Institute of Technology, Israel); Yonina C. Eldar (Technion-Israel Institute of Technology, Israel) 96
2:30 A New Approach to Moving Targets and Background Separation in Multi-Channel SAR Di Wu, Mehrdad Yaghoobi and Mike Davies (University of Edinburgh, United Kingdom) 2:50 An L1-regularized Least Squares Algorithm for Reconstructing Step-Frequency Ground Penetrating Radar Images Henry Ogworonjo, John Anderson and Mandoye Ndoye (Howard University, USA); Lam Nguyen (Army Research Laboratory, USA) 206: Detection III Room: Commonwealth D Chairs: William L. Melvin (Georgia Tech Research Institute, USA), Audrey Paulus (Georgia Institute of Technology, USA) 1:30 Spectral-Shape Optimized FM Noise Radar for Pulse Agility John Jakabosky and Shannon D Blunt (University of Kansas, USA); Braham Himed (AFRL, USA) 1:50 Vehicle Recognition Analysis in LTE Based Forward Scattering Radar Raja Syamsul Azmir Raja Abdullah (University Putra Malaysia, Malaysia); Noor Hafizah Abdul Aziz (Universiti Teknologi MARA (UiTM) Malaysia & Universiti Putra Malaysia, Malaysia); Asem A. Salah (University Putra Malaysia (UPM), Malaysia); Nur Emileen Abd Rashid (Universiti Teknologi MARA, Malaysia) 2:10 Radar Detector Performance Analysis Using EM Simulations of Targets' RCS Meng How Teo and Han Lun Yap (DSO National Laboratories, Singapore) 2:30 Design and Implementation of A New Approach of LFMCW Radar Signal Processing Based on Compressive Sensing in Azimuth Direction Fathy Ahmed (Military Technical College, Egypt); Sameh Salem, Mamdouh Ibrahim and Abdel Rahman Elbardawiny (MTC, Egypt); Saad Elgayar (OSU, Ohio State University, USA)
Thursday, May 5, 15:10 - 15:50 305: Poster Session Thur PM Room: Millennium Hall Analysis of Sampling Clock Phase Noise in Homodyne FMCW Radar Systems Kashif Siddiq, Robert J Watson and Stephen Pennock (University of Bath, United Kingdom); Philip Avery, Richard Poulton and Steve Martins (Navtech Radar Ltd., United Kingdom) On a Probabilistic Approach to Detect Noise Radar Random Transmit Waveforms Based on a Simple Circularity Test Leandro Pralon (Brazilian Army Technological Center, Brazil); Mariana G Pralon (Technische Universität Ilmenau, Germany); Bruno Pompeo (Brazilian Army Technological Center, Brazil); Gabriel Vasile (National Center for Scientific Research & GIPSA-lab / CNRS, France)
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Deceptive Jamming Suppression Based on Coherent Cancelling in Multistatic Radar System Bing Wang (University of Electronic Science and Technology of China, P.R. China); Guolong Cui (University of Electronic Science and Technology of China (UESTC), P.R. China); Shuai Zhang, Biao Sheng and Lingjiang Kong (University of Electronic Science and Technology of China, P.R. China); Ran Dan (7306 Research Institution of CASC, P.R. China) Range-Velocity Jamming Suppression Algorithm Based on Adaptive Iterative Filtering Shuai Zhang and Ya Yang (University of Electronic Science and Technology of China, P.R. China); Guolong Cui (University of Electronic Science and Technology of China (UESTC), P.R. China); Bing Wang and Hongmin Ji (University of Electronic Science and Technology of China, P.R. China); Salvatore Iommelli (Ente di Formazione Professionale Maxwell, Italy) Cognitive Waveform Design for Anti-velocity Deception Jamming with Adaptive Initial Phase Wei Xiong (Nanjing University of Aeronautics and Astronautics & Leihua Electronic Technology Research Institute, P.R. China); Xin Wang and Gong Zhang (Nanjing University of Aeronautics and Astronautics, P.R. China) Joint Selection and Power Allocation Strategy for Target Tracking in Decentralized Multiple Radar Systems Mingchi Xie (University Of Electronic Science And Technology Of China, P.R. China); Wei Yi (University of Electronic Science and Technology of China, P.R. China); Lingjiang Kong (University of Electronic Science and Technology of China (UESTC), P.R. China) Robust Radar-Embedded Sidelobe Level Modulation Using Constrained Optimization Design Aline Oliveira (Instituto de Pesquisas da Marinha, Brazil); Raimundo Sampaio-Neto (Cetuc-PucRio, Brazil); Jose Mauro Fortes (PUC-Rio, Brazil) Efficient Gradient Method for Locally Optimizing the Periodic/Aperiodic Ambiguity Function Fabien Arlery (Telecom SudParis & Thales Air Systems, France); Uy Hour Tan (SONDRA & Thales Air Systems, France); Rami Kassab (Thales Air Systems, France); Frederic Lehmann (Telecom SudParis, France) Real-Time Multiple Velocity False Target Generation in Digital Radio Frequency Memory Mehmet Ispir, Adnan Orduyilmaz and Mahmut Serin (TUBITAK BILGEM ILTAREN, Turkey); Alper Yildirim (TUBITAK, Turkey); Ali C Gurbuz (TOBB University of Economics and Technology, Turkey) Joint Radar-Communications Information Bounds with Clutter: The Phase Noise Menace Alex Chiriyath (Arizona State University, USA); Bryan Paul (Arizona State University & General Dynamics Mission Systems, USA); Daniel W. Bliss (Arizona State University, USA) Repeater Jamming Suppression Technology Based on HHT Jiaqi Ren, Xuchu Dai and Hui Li (University of Science and Technology of China, P.R. China) Signs of Life Detection Using Wireless Passive Radar Qingchao Chen and Kevin Chetty (University College London, United Kingdom); Karl Woodbridge (University College London (UCL), United Kingdom); Bo Tan (University Of Bristol, United Kingdom)
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Fractional Fourier Based Waveform for a Joint Radar-Communication System Domenico Gaglione, Carmine Clemente, Christos V. Ilioudis and Adriano Rosario Persico (University of Strathclyde, United Kingdom); Ian Proudler (Loughborough University, United Kingdom); John J Soraghan (University of Strathclyde, United Kingdom) A Novel Waveform Design for Multi-target Detection in Automotive FMCW Radar Huiyang Zhou (Beijing University of Posts and Telecommunications, P.R. China); PengFei Cao (BeiJing University of Posts and Telecommunications, P.R. China); Shujing Chen (Beijing University of Posts and Telecommunications, P.R. China) Towards a Dual-Function MIMO Radar-Communication System Elie Bou Daher and Aboulnasr Hassanien (Villanova University, USA); Elias Aboutanios (University of New South Wales, Australia); Moeness G. Amin (Villanova University, USA) A Novel Constrained Monopulse Technique for Adaptive Phased Arrays in the Presence of Interference Xinyu Zhang, Yang Li and Xiaopeng Yang (Beijing Institute of Technology, P.R. China); Le Zheng (Columbia University, USA); Teng Long (Beijing Institute of Technology, P.R. China); Chris J Baker (Aveillant, United Kingdom) Tractable MIMO Beampattern Design Under Constant Modulus Waveform Constraint Omar Aldayel (Pennsylvania State University & Pennsylvania State University, USA); Vishal Monga (Pennsylvania State University, USA); Muralidhar Rangaswamy (AFRL, USA) Standoff CW Radar for Through-the-Wall Detection of Human Heartbeat Signatures Vincent Radzicki (University of California Santa Barbara, USA); David A Boutte (AKELA Inc., USA); Hua Lee (University of California Santa Barbara, USA); Paul Taylor (Akela Inc., USA) Maneuvering Target Tracking in Constraint Coordinates with Radar Measurements Keyi Li, Xi Chen and Gongjian Zhou (Harbin Institute of Technology, P.R. China) Robust Adaptive Beamforming Using Iterative Adaptive Approach for Interference-Plus-Noise Covariance Matrix Reconstruction Wang Yasen, Bao Qinglong and Chen Zengping (National University of Defense Technology, P.R. China)
Thursday, May 5, 15:50 - 17:30 225: Sea Clutter Room: Commonwealth A Chair: Justin G Metcalf (Air Force Research Laboratory, USA) 3:50 Generation of Correlated Sea Clutter for Radar Test Steffen Heuel (Rohde & Schwarz, Germany); Andreas Reil and Carlo van Driesten (TU München, Germany) 4:10 Detection in Sea Clutter by Artificial Diversity Based on Statistical Dithering Altunkan Hizal (ASELSAN, Turkey) 99
4:30 A Compressed Sensing Based Design for Formation of Range-Doppler Maps Jabran Akhtar (Norwegian Defence Research Establishment (FFI), Norway); Karl Erik Olsen (Forsvarets forskningsinstitutt, Norway) 215: Penetrating Radar Room: Commonwealth B Chairs: Mark E Davis (Medavis Consulting, USA), Frank C. Robey (MIT Lincoln Laboratory, USA) 3:50 Towards 3D Full-Wave Inversion for GPR Francis Watson (Dstl & University of Manchester, United Kingdom) 4:10 FOPEN Radar Design for Sparse Forest Surveillance Mark E Davis (Medavis Consulting, USA) 4:30 Joint Through-Wall 3-D Radar Imaging and Motion Detection Using a Stop-And-Go SAR Trajectory Pascale Sévigny (DRDC - Ottawa Research Centre, Canada) 4:50 Through-wall Propagation Effects on Doppler-enhanced Frontal Radar Images of Humans Shobha Ram (IIIT Delhi, India); Angshul Majumdar (Indraprastha Institute Of Information Technology-Delhi & University of British Columbia, India) 5:10 Cavity-Backed Wideband Magneto-Electric Antenna for Through-the-Wall Imaging Radar Applications Jianxing Li and Anxue Zhang (Xi'an Jiaotong University, P.R. China); Jiangang Liu (University of Electronic Science and Technology of China, P.R. China); Qing Huo Liu (Duke University, USA)
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Notes
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