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Proceedings Paper

Polarimetric detection for slowly moving/stationary targets in inhomogeneous environments
Author(s): Charles Hsu; Howard Mendelson; Albert Burgstahler; Dan Hibbard; Jim Faist
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Paper Abstract

The detection of slowly moving/stationary targets in a heavy-clutter environment is a challenging problem in a surveillance system. Recent researches [1-3] illustrate that polarization diversity can provide a measure to detect the symmetry of a target in inhomogeneous clutter, especially when discrimination by Doppler effects is not possible, and detection performance could be further enhanced if the polarization of transmitted signal is optimally selected to match the target polarimetric aspects. In this paper, we address the challenges of threat detection in inhomogeneous clutter such as in the riverine wetland environment. Second, a local sequential polarimetric diversity algorithm using dual (horizontal and vertical) polarizations is presented to calculate the singularity of polarization diversity for potential threat detection. The singularity of polarization diversity is a measure to discriminate the difference (less similarity) of targets from the neighborhood (background), which area can be decided by the size of the sliding processing window. Next, a field test using a Vector Network Analyzer collected dual-polarized scatterings of targets and accomplished a multiple frequency band (200 MHz - 18 GHz from UHF to Ku bands) threat characterization and detection on the same stationary threats. Finally, we show the testing result using the local sequential polarimetric diversity algorithm to detect potential threats in inhomogeneous environments.

Paper Details

Date Published: 3 June 2011
PDF: 12 pages
Proc. SPIE 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX, 80581G (3 June 2011); doi: 10.1117/12.889220
Show Author Affiliations
Charles Hsu, Trident Systems Inc. (United States)
Howard Mendelson, Trident Systems Inc. (United States)
Albert Burgstahler, Trident Systems Inc. (United States)
Dan Hibbard, Trident Systems Inc. (United States)
Jim Faist, Trident Systems Inc. (United States)

Published in SPIE Proceedings Vol. 8058:
Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX
Harold Szu, Editor(s)

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