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Proceedings Paper

Ground moving target indication via multi-channel airborne SAR
Author(s): Duc Vu; Bin Guo; Luzhou Xu; Jian Li
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Paper Abstract

We consider moving target detection and velocity estimation for multi-channel synthetic aperture radar (SAR) based ground moving target indication (GMTI). 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. Furthermore, 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. An iterative adaptive approach (IAA), which is robust and user parameter free, is used to form velocity versus cross-range images for each range bin of interest. Moreover, we discuss calibration techniques to combat near-field coupling problems encountered in practical systems. Furthermore, we present a sparse signal recovery approach for stationary clutter cancellation. We conclude by demonstrating the effectiveness of our approaches by using the Air Force Research Laboratory (AFRL) publicly-released Gotcha airborne SAR based GMTI data set.

Paper Details

Date Published: 4 May 2011
PDF: 12 pages
Proc. SPIE 8051, Algorithms for Synthetic Aperture Radar Imagery XVIII, 80510Q (4 May 2011); doi: 10.1117/12.886638
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. 8051:
Algorithms for Synthetic Aperture Radar Imagery XVIII
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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