A Compressive Sensing Based SAR GMTI Method for Dual-channel SAR System

In the conventional SAR Ground Moving Targets Indication (GMTI) method, the sample number is heavily large, increasing severely data transmission and storage load. To mitigate this problem, a SAR GMTI method is proposed based on Compressive Sensing (CS) in this paper. In the presented method, raw radar data of dual channels are firstly acquired by sampling randomly and sparsely in the azimuth direction. Secondly, the matched filter is used to perform the range direction focus and compressive sensing method is used to perform the azimuth direction focus. Finally, the conventional Displaced Phase Center Antenna (DPCA) technique is adopted to suppress clutter. Theoretical analysis shows that the proposed method can be applied to clutter suppression of the sparse sampling data of dual channels and the effects of motion parameters on target imaging are analysed in detail. The results of simulated and real data processing verify that the proposed method has excellent clutter suppression performance even if few samples can be obtained in the azimuth direction.