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STAP-based GMTI for multichannel SAR with sparse sampling
Huilin Mu (Harbin Institute of Technology), Yun Zhang (Harbin Institute of Technology), Yicheng Jiang (Harbin Institute of Technology), Tianyun Yang (Harbin Institute of Technology)
Résumé : The enormous amount of sampling raw data makes difficulties in storage and transmission for multi-channel SAR-GMTI system. In this paper we present a STAP-based GMTI approach using a small amount of multichannel SAR raw data. The SAR raw data is firstly sampled in the azimuth direction sparsely. Secondly, STAP processing method is adopted to eliminate the clutter returns in slow time domain. Finally, GMTI is achieved by GPSR reconstruction approach. The experiments with the multichannel SAR raw data and GMTI performance analysis demonstrate that this method is applicable with sparse sampling.