Paper
18 April 2010 Analysis of motion disambiguation using multi-channel circular SAR
Ahmed R. Fasih, Carl W. Rossler, Joshua N. Ash, Randolph L. Moses
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ahmed R. Fasih, Carl W. Rossler, Joshua N. Ash, and Randolph L. Moses "Analysis of motion disambiguation using multi-channel circular SAR", Proc. SPIE 7699, Algorithms for Synthetic Aperture Radar Imagery XVII, 76990J (18 April 2010); https://doi.org/10.1117/12.850233
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Cited by 1 scholarly publication.
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KEYWORDS
Antennas

Synthetic aperture radar

Receivers

3D image processing

Associative arrays

Radar

Statistical analysis

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