SAR motion compensation and feature extraction via MCRELAX

Zheng-She Liu; Jian Li

doi:10.1117/12.281566

28 July 1997 SAR motion compensation and feature extraction via MCRELAX

Zheng-She Liu, Jian Li

Proceedings Volume 3070, Algorithms for Synthetic Aperture Radar Imagery IV; (1997) https://doi.org/10.1117/12.281566
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

Zheng-She Liu and Jian Li "SAR motion compensation and feature extraction via MCRELAX", Proc. SPIE 3070, Algorithms for Synthetic Aperture Radar Imagery IV, (28 July 1997); https://doi.org/10.1117/12.281566

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