基于回波数据压缩的MIMO-SAR成像方法

针对多发多收合成孔径雷达(MIMO-SAR)高分辨成像的回波数据量过大问题,提出了一种基于数据压缩的MIMO-SAR成像方法。通过对MIMO-SAR回波数据的分析,补偿了由于MIMO雷达收发分置导致的相位误差;其次利用距离徙动算法(RMA)对回波数据进行预处理并分析了其稀疏性;然后针对预处理后的回波数据进行压缩传输,在接收端利用压缩感知重构算法获得回波数据在距离多普勒域的稀疏表示并进行成像处理。仿真结果表明,所提方法可以在大幅压缩MIMOSAR回波数据的基础上实现准确成像。

An imaging method of MIMO-SAR with compressed echo data

The amount of echo data is huge in multiple input multiple output synthetic aperture radar(MIMO-SAR) imaging with high resolution. To solve this problem,an imaging method of MIMO-SAR based on compressed echo data is proposed. Firstly,the echo signal model of MIMO-SAR system is analyzed and the phase error induced by MIMO radar is compensated. Secondly,the echo signal is preprocessed by the Range Migration Algorithm(RMA),and also the sparsity of the processed data is analyzed. Then the preprocessed data is compressed and transmitted. In the ground receiver,the sparse expression of echo data in Range-Doppler(RD) domain is reconstructed. Finally,the simulation result shows that the amount of the transmitted data by the proposed method is less than that by the conventional MIMO-SAR imaging method.