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A Realization of Signal-Model-Based SAR Imaging via Atomic Decomposition

Yesheng GAO, Hui SHENG, Kaizhi WANG, Xingzhao LIU

Author information

Yesheng GAO
Department of Electronic Engineering, Shanghai Jiao Tong University
Hui SHENG
Department of Electronic Engineering, Shanghai Jiao Tong University
Kaizhi WANG
Department of Electronic Engineering, Shanghai Jiao Tong University
Xingzhao LIU
Department of Electronic Engineering, Shanghai Jiao Tong University

Corresponding author

Keywords:SAR,atomic decomposition,matching pursuit,Cramer-Rao bound

JOURNALRESTRICTED ACCESS

2015 Volume E98.AIssue 9Pages 1906-1913

DOIhttps://doi.org/10.1587/transfun.E98.A.1906

Details

Published: September 01, 2015Manuscript Received: November 20, 2014Released on J-STAGE: September 01, 2015Accepted: -Advance online publication: -Manuscript Revised: April 15, 2015

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Article overview

Abstract

A signal-model-based SAR image formation algorithm is proposed in this paper. A model is used to describe the received signal, and each scatterer can be characterized by a set of its parameters. Two parameter estimation methods via atomic decomposition are presented: (1) applying 1-D matching pursuit to azimuthal projection data; (2) applying 2-D matching pursuit to raw data. The estimated parameters are mapped to form a SAR image, and the mapping procedure can be implemented under application guidelines. This algorithm requires no prior information about the relative motion between the platform and the target. The Cramer-Rao bounds of parameter estimation are derived, and the root mean square errors of the estimates are close to the bounds. Experimental results are given to validate the algorithm and indicate its potential applications.

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