Terrain height estimation using GMTI radar
Charles J. Morgan - Technology Service Corporation, Steven Jaroszewski - Technology Service Corporation, Paul D. Mountcastle - Technology Service Corporation
Wed, 28 April 2004, 9:30 AM - 10:20 AM
We simulate the performance of existing and planned tactical GMTI systems using data cubes derived from high-fidelity interferometric SAR, to assess the utility of these GMTI systems for an auxiliary terrain height estimation function. The two systems are current and next generation GMTI radars with linear and planar arrays that could be mounted on a manned aircraft or a large UAV. In order to achieve the vertical element separation required for interferometric terrain height estimation, the antenna array in the first case must be pitched up relative to the horizontal position that is ordinarily used for DPCA or STAP clutter suppression. The purpose of the study is to determine whether useable terrain elevation maps can be generated by interferometric techniques within the operational constraints of these systems. Such elevation map data, obtained using a GMTI radar, would be valuable to knowledge-aided algorithms which rely on precise three-dimensional registration of radar data with terrain or road databases.
Dr. Charles J. Morgan - Technology Service Corporation
Dr. Morgan received his B.A. in Physics and Mathematics in 1970 from Southern Illinois University, and his M.A. in Physics in 1972 from Washington University. He received his Ph.D. in theoretical Physics from Washington University in 1975. Dr. Morgan joined Technology Service Corporation in 1986 and is currently a Senior Scientist in TSC?s Connecticut Operations. Dr. Morgan has worked on a wide range of analytical studies and algorithm development efforts related to target tracking, bistatic sensors, RCS modeling, SAR and IFSAR.
Dr. Paul D. Mountcastle - Technology Service Corporation
Dr. Mountcastle received his BA in Physics in 1979 from the University of Maryland, his MA in Theoretical Physics in 1981 from SUNY Stony Brook and his PhD in Theoretical Physics from the University of Hawaii in 1998. He worked in the Radar System Engineering Department of Westinghouse Electric Corporation from 1982 to 1994, and in the Radar Data Analysis Group of XonTech, Inc. from 1998 to 2003. He currently works on Knowledge-Aided STAP algorithms at TSC in Trumbull, CT.