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Proceedings Paper

Analysis of motion disambiguation using multi-channel circular SAR
Author(s): Ahmed R. Fasih; Carl W. Rossler; Joshua N. Ash; Randolph L. Moses
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Paper Abstract

Combining moving target indication (MTI) radar with synthetic aperture radar (SAR) is of great interest to radar specialists, in terms of improving multiple-target tracking in large, urban scenes. A major obstacle to such a merger are ambiguities induced by mution. Using statistical bounds we quantify the improvement of moving target localization with multi-channel SAR over single-channel SAR and the more traditional MTI technique of displaced phase center array (DPCA) processing. We show that the potential for substantial improvements in localization performance is borne out by practical estimators based on sparse reconstruction algorithms, whose performance approach statistical bounds, even under clutter. We also outline a parallelization scheme for the nonquadratic regularized sparse reconstruction technique to utilize clusters for processing large datasets.

Paper Details

Date Published: 18 April 2010
PDF: 12 pages
Proc. SPIE 7699, Algorithms for Synthetic Aperture Radar Imagery XVII, 76990J (18 April 2010); doi: 10.1117/12.850233
Show Author Affiliations
Ahmed R. Fasih, The Ohio State Univ. (United States)
Carl W. Rossler, The Ohio State Univ. (United States)
Joshua N. Ash, The Ohio State Univ. (United States)
Randolph L. Moses, The Ohio State Univ. (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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