基于改进重建滤波器组的机动目标MIMO-ISAR高分辨成像方法

High Resolution MIMO-ISAR Imaging of Maneuvering Targets Based on Improved Reconstruction Filter Bank

针对空间非均匀采样导致的方位向多普勒模糊问题,提出改进重建滤波器组的机动目标MIMO-ISAR高分辨成像方法。针对目标高机动模型,构建多载频线性调频信号的MIMO-ISAR回波模型,采用RWT(radon-wigner transform)参数估计目标运动参数,根据方位有效采样率构建滤波器组,通过实验验证该算法的有效性。结果表明,该方法能有效解决机动目标方位向多普勒模糊问题。

Aiming at the problem of azimuth Doppler ambiguity caused by spatial non-uniform sampling,an improved reconstruction filter bank based MIMO-ISAR high resolution imaging method for maneuvering targets is proposed.For the high maneuvering target model,the MIMO-ISAR echo model of multi-carrier LFM signal is constructed,and the target motion parameters are estimated by RWT(radon-Wigner transform)parameters,and then the filter bank is constructed according to the effective sampling rate of azimuth.The effectiveness of the algorithm is verified by experiments.The results show that the method can effectively solve the problem of azimuth Doppler ambiguity of maneuvering target.