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多发多收合成孔径雷达(MIMO-SAR)利用多通道空间并行采样的优势可实现高分辨成像,但不可避免地存在运动误差与海量数据不便于存储与传输的问题。针对该问题提出一种基于压缩感知的MIMO-SAR运动误差补偿与成像方法。首先通过详细分析MIMO-SAR运动误差回波信号模型,在全采样条件下利用两步运动补偿技术实现对回波数据的运动误差补偿处理,其次针对降采样回波数据的运动误差补偿,通过构造变换算子与压缩感知(CS)重构模型的方法实现第1步运动误差补偿、距离脉压以及距离徙动校正处理,然后再进行第2步误差补偿与方位向脉压处理获得成像结果。最后通过仿真实验验证了所提方法能够在大幅压缩回波数据的情况下,实现MIMO-SAR运动误差补偿与成像处理。
Multiple-output multi-aperture synthetic aperture radar (MIMO-SAR) utilizes the advantages of multi-channel spatial parallel sampling to realize high-resolution imaging, but it is inevitable that motion error and mass data are not convenient for storage and transmission. Aiming at this problem, a motion compensation and imaging method based on compressed sensing in MIMO-SAR is proposed. Firstly, by analyzing the model of motion error echo of MIMO-SAR in detail, two-step motion compensation technique is used to compensate the motion error of echo data under the condition of full sampling. Secondly, according to the motion error compensation of down-sampled echo data, Transform operator and compressive sensing (CS) reconstruction model to achieve the first step of motion error compensation, distance pulse pressure and distance migration correction processing, and then the second step of error compensation and azimuth pulse pressure processing to obtain imaging results. Finally, the simulation results show that the proposed method can compensate for the motion error of the MIMO-SAR and image processing when the echo data is greatly compressed.