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Proceedings Paper

SAR motion compensation and feature extraction via MCRELAX
Author(s): Zheng-She Liu; Jian Li
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Paper Abstract

This paper studies the problem of extracting target features via synthetic aperture radar (SAR) in the presence of uncompensated aperture motion errors. A parametric data model for a spotlight-mode SAR system is established. The Cramer-Rao bounds (CRBs) for the parameters of the data model are also derived. The CRB analysis shows that the unknown motion errors can significantly affect the accuracy of a common shift of the scatterer positions in the cross- range direction, but have little effect on other target parameters including the accuracy of the relative positions in the cross-range direction. A relaxation-based MCRELAX algorithm for estimating both target features and motion errors is devised. Simulation results show that he mean- squared errors of the parameter estimates obtained by using the MCRELAX algorithm can approach the corresponding CRBs.

Paper Details

Date Published: 28 July 1997
PDF: 12 pages
Proc. SPIE 3070, Algorithms for Synthetic Aperture Radar Imagery IV, (28 July 1997); doi: 10.1117/12.281566
Show Author Affiliations
Zheng-She Liu, Univ. of Florida (United States)
Jian Li, Univ. of Florida (United States)


Published in SPIE Proceedings Vol. 3070:
Algorithms for Synthetic Aperture Radar Imagery IV
Edmund G. Zelnio, Editor(s)

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