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Proceedings Paper

Statistical modeling of rough surface scattering for ground-penetrating radar applications
Author(s): George A. Tsihrintzis; Carey M. Rappaport; Scott C. Winton; Peter M. Johansen
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Paper Abstract

Rough surface clutter is a significant source of interference in non-specular ground penetrating radar (GPR) applications that needs to be suppressed to maintain high performance in the signal processing. Our research is in the directions of (1) development and testing of flexible parametric models for the statistical distribution of clutter that rely on the theories of alpha-stable random processes, (2) establishment of bounds on the performance of signal processing algorithms, and (3) design and analysis of robust, non-Gaussian signal processing algorithms based on the statistical clutter models. Synthetic data simulated with FDTD techniques are extensively used.

Paper Details

Date Published: 4 September 1998
PDF: 10 pages
Proc. SPIE 3392, Detection and Remediation Technologies for Mines and Minelike Targets III, (4 September 1998); doi: 10.1117/12.324247
Show Author Affiliations
George A. Tsihrintzis, Northeastern Univ. (United States)
Carey M. Rappaport, Northeastern Univ. (United States)
Scott C. Winton, Northeastern Univ. (United States)
Peter M. Johansen, Northeastern Univ. (United States)

Published in SPIE Proceedings Vol. 3392:
Detection and Remediation Technologies for Mines and Minelike Targets III
Abinash C. Dubey; James F. Harvey; J. Thomas Broach, Editor(s)

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