Tutorial: Advanced STAP Concepts
Presented by:
Dr. Scott Goldstein
Senior Vice President, ManTech International Corporation, USA
Dr. Mike Picciolo
Research Scientist and Technology Fellow of SAIC, USA
Dr. Jacob Griesbach
Senior Advisory Scientist, Analytical Graphics, Inc., USA
Course Description:
Space-Time Adaptive Processing (STAP) is an advanced signal processing methodology for the Ground Moving Target Indication (GMTI) mode of airborne and space borne surveillance radar systems. It is used to mitigate platform-motion-induced spread-Doppler clutter that interferes with the echo from moving ground targets, in addition to mitigating jamming interference. The tutorial will develop and clearly illustrate the GMTI problem from first principles, showing the need for STAP processing, including the STAP radar signal environment and its mathematical model. Traditional STAP processing solutions will be derived from a detection probabilistic perspective - the most pertinent metric for radar. Additionally, the course covers state-of-the-art STAP techniques that address many of the limitations of traditional (ideal) STAP solutions, offering insight into future research trends.
Instructor Biographies:
Dr. Scott Goldstein is a Senior Vice President at ManTech International Corporation and the Chief Technology Officer of the Systems Engineering and Advanced Technology Group. He has over 25 years of experience in the fields of ISR, radar, imaging sensors, sonar, cyber & IO, SIGINT, communications and navigation. He has conceived, designed and developed new programs within DARPA, the national intelligence community and the individual military services. Dr. Goldstein is a Fellow of the IEEE, a Fellow of the Washington Academy of Sciences and a member of the IEEE Radar Systems Panel. He is an Adjunct Professor of Electrical Engineering at Virginia Tech, where he has supervised Ph.D. candidates and taught advanced graduate courses on radar systems and signal processing. He was elected three times to the National Academy of Engineering Frontiers of Engineering Program as one of the Nation’s 100 outstanding young engineers. He also received the 2002 IEEE Fred Nathanson Radar Engineer of the Year Award. He has authored or co-authored over 100 refereed technical publications and four U.S. patents in spread spectrum communications and adaptive processing for signal detection.
Dr. Mike Picciolo is a Research Scientist and Technology Fellow of SAIC. He has over 20 years experience working in the areas of SAR / GMTI radar, Space-Time Adaptive Processing (STAP) algorithms, adaptive communications algorithms, geolocation algorithms, and image processing algorithms. He was elected by the National Academy of Engineering to the 2008 Frontiers of Engineering program as one of the Nation’s top 100 engineers from Industry, Academia, and Government. He received the 2007 IEEE Fred Nathanson Radar Engineer of the Year Award for contributions to the radar art and for radar signal processing. Dr. Picciolo is a member of the international IEEE Radar Systems Panel. He earned his Ph.D. in Electrical Engineering from Virginia Tech in 2003. He has authored over 40 publications spanning refereed journals, book chapters, conference publications and patents. He is a professional lecturer at the George Washington University, teaching graduate courses in radar systems and STAP. He co-lectures the STAP II tutorials IEEE Radar Conferences. Previously, he spent 14 years at the Radar Division of the Naval Research Laboratory (NRL) designing advanced navy radar and STAP systems.
Dr. Jacob Griesbach is the Senior Advisory Scientist at Analytical Graphics, Inc (AGI). He specializes in radar and sonar signal processing, astrodynamics, GPS signal processing, space-time adaptive processing (STAP), adaptive beamforming, statistical signal processing, filterbank design, and adaptive systems. For radar, he has written complete end-to-end GMTI signal processing chains for the Lincoln Multi-Mission ISR Testbed (LiMIT) and Tuxedo airborne platforms at the MIT Lincoln Laboratory. He has also worked on refocusing approaches to detect and characterize slow moving objects in SAR imagery. Jacob earned his Ph.D, MSEE, and BSEE degrees from the University of Colorado in Boulder in 2000, 1997, and 1995 respectively. He co-lectured the STAP II tutorial at the 2009 IEEE Radar Conference and the Radar Antennas course at the 2009 Tri-Service Radar Conference. He was the technical coordinator for the adaptive signal array processing (ASAP) workshops in 2002 and 2003, and has participated on the ASAP technical committee from 2002-2007. He is a senior member of the IEEE.