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Dual channel SAR-based GMTI using weighted l1 optimization

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3 Author(s)
W. W. Wang ; National Lab of Radar Signal Processing, Xidian University, Xi'an, China ; G. S. Liao ; S. Q. Zhu

Ground moving targets indication (GMTI) system based on dual-channel Synthetic Aperture Radar (SAR) increases data transmission and storage load. To alleviate such payloads, we propose a GMTI method using weighted l1 optimization with reduced amount of echo samples. In this method, compressive sensing (CS) is utilized to process jointly the dual channel SAR data sampled sparsely in the azimuth direction. A transform matrix is firstly constructed to separate the energy support areas of moving targets from the energy support areas of all scattering centers. Then, clutter suppression and moving target imaging are achieved by solving a weighted l1 norm optimization. The proposed method works well even if clutter scattering centers have a low sparse level. Simulation results demonstrate the effectiveness of the method.

Published in:

2012 IEEE Radar Conference

Date of Conference:

7-11 May 2012