SAR Moving Target Imaging Based on Low-rank Matrix Decomposition

Fan YE, Ze-long WANG, Ju-bo ZHU

Abstract


This paper suggests a novel method for SAR moving target Imaging. After proper preprocessing, the matrix of SAR echo can be regarded as the superposition of three matrices, including a low-rank matrix of ground clutter, a sparse matrix of moving targets, and an entry-wise matrix of noise component. Then low-rank matrix decomposition technology based on principal component pursuit is used to separate the moving targets matrix from the ground clutter matrix. Simulation is shown the availability of the proposed method.

Keywords


SAR moving target imaging, Low-rank matrix, Sparse matrix, Principal component pursuit


DOI
10.12783/dtcse/mso2018/20497

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