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Proceedings Paper

SAR based adaptive GMTI
Author(s): Duc Vu; Bin Guo; Luzhou Xu; Jian Li
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Paper Abstract

We consider ground moving target indication (GMTI) and target velocity estimation based on multi-channel synthetic aperture radar (SAR) images. Via forming velocity versus cross-range images, we show that small moving targets can be detected even in the presence of strong stationary ground clutter. Moreover, the velocities of the moving targets can be estimated, and the misplaced moving targets can be placed back to their original locations based on the estimated velocities. Adaptive beamforming techniques, including Capon and generalizedlikelihood ratio test (GLRT), are used to form velocity versus cross-range images for each range bin of interest. The velocity estimation ambiguities caused by the multi-channel array geometry are analyzed. We also demonstrate the effectiveness of our approaches using the Air Force Research Laboratory (AFRL) publicly-released Gotcha SAR based GMTI data set.

Paper Details

Date Published: 19 April 2010
PDF: 12 pages
Proc. SPIE 7699, Algorithms for Synthetic Aperture Radar Imagery XVII, 76990H (19 April 2010); doi: 10.1117/12.849757
Show Author Affiliations
Duc Vu, Univ. of Florida (United States)
Bin Guo, Univ. of Florida (United States)
Luzhou Xu, Univ. of Florida (United States)
Jian Li, Univ. of Florida (United States)


Published in SPIE Proceedings Vol. 7699:
Algorithms for Synthetic Aperture Radar Imagery XVII
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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