Physics-based airborne ground moving target radar signal processing
George R Legters - Science Applications International Corporation, Joseph R Guerci - Defense Advanced Research Projects Agency
Wed, 28 April 2004, 10:20 AM - 12:00 PM
The Knowledge-Aided Sensor Signal Processing and Expert Reasoning (KASSPER) program aims to improve airborne Ground Moving Target Indicator (GMTI) radar performance by taking into account all available prior knowledge. One powerful piece of information is that the radar return signal is a superposition of near-ideal plane-waves. A plane-wave signal and clutter model of sampled GMTI radar data can be used to calibrate the receive array, suppress clutter, and detect moving targets. Each range gate is processed independently. Sample covariance matrices are unnecessary. The synthetic KASSPER Challenge Datacube is processed to demonstrate performance.
Dr. George R Legters - Science Applications International Corporation
George R. Legters received the B.S. degree in physics from Houghton College in 1973, the M.S. degree in physics from Penn State in 1975, and the M.S. degree in electrical engineering and Ph.D. degree in Physics from the University of Miami in 1980 and 1981, respectively. From 1979 to 1982 he was a Research Scientist with the Institute for Acoustical Research, Miami, FL. From 1982 to 1984 he was an Associate Principal Engineer with Harris Corporation, Melbourne FL. From 1984 to 1985 he was a Senior Scientist with DBA Systems, Melbourne, FL. From 1985 to 1988 he was the Chief Scientist of Coleman Research Corporation, Orlando, FL. Since 1988, he has been a Senior Scientist with Science Applications International Corporation, Satellite Beach, FL.
Dr. Joseph R Guerci - Defense Advanced Research Projects Agency
Dr. Guerci is the Deputy Director of the Special Projects Office (SPO) at the Defense Advanced Research Projects Agency (DARPA), where is engaged in the development of next generation adaptive sensors and systems for both terrestrial and space based applications. He has eight US patents, numerous peer reviewed technical publications, is a Member of the IEEE Radar Systems Panel, and is author of Space-Time Adaptive Processing for Radar (Artech House) that is based on a popular course he has taught in academia, government and industry.