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UWB SAR for Subsurface-Target Identification
Final progress rept. 17 Aug 1998-16 Nov 1999
DUKE UNIV DURHAM NC
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This project has involved both numerical simulation of electromagnetic scattering for ultra-widenband synthetic aperture radar SAR for foliage and ground penetrating radar FOPEN and GPEN, respectively. We have developed a fast multipole method FMM model for electromagnetic scattering from electrically large conducting targets in the presence of a half space, with application to scattering from surfacesubsurface unexploded ordnance UXO, as well as for scattering from surface vehicles, such as tanks. The FMM simulator is significantly faster than conventional method-of-moments MoM solvers. allowing solution of problems that were heretofore intractable. The code has been delivered to the Army Research Laboratory ARL, and successfully compared with data measured by ARL. In addition to this modeling, we have developed hidden Markov model HMM automatic target recognition algorithms, applicable to the SAR detection and discrimination of concealed targets. Within the context of the HMM, we have employed a physics based matching pursuits feature parser. This signal processing paradigm has been successfully applied to ARL-measured FOPEN and GPEN data.
APPROVED FOR PUBLIC RELEASE