MIMO-ISAR成像空时等效误差校正方法

针对多输入多输出逆合成孔径雷达(multiple-input multiple-output inverse synthetic aperture radar, MIMO-ISAR)成像中的空时不等效问题,首先建立了空时等效误差模型,并对模型进行了分析,然后推导出空时等效误差的校正模型,得出了空时等效误差的校正矩阵,且该误差校正矩阵只与空时等效失配率有关。采用特显点方位像熵最小对空时等效失配率进行了估计,并利用它构建出空时等效误差的校正矩阵,实现了MIMO-ISAR空时等效误差的校正。仿真验证了这一方法的有效性。

Space-time equivalent errors correction in MIMO-ISAR imaging

In view of the nonequivalent relationship between the space sampling and time sampling in multiple-input multiple-output inverse synthetic aperture radar (MIMO-ISAR), an space-time quivalent errors model is established and analyzed firstly. Subsequently, a formula which can correct the equivalent errors model between space and time is inferred. The error correction matrix is acquired, which only concerns with the space-time equivalent miss matched rate. Space-time equivalent miss matched rate is estimated by the minimum cross-range image entropy method. Then the errors correction matrix is structured and space-time equivalent errors are corrected. The simulation results verify the validity of the proposed algorithm.