基于组合滤波的压缩感知穿墙雷达杂波抑制

针对压缩感知穿墙雷达成像过程中受壁杂波污染严重等问题，提出了一种组合滤波的杂波抑制算法。该算法利用小波预处理、统计信号滤波法相结合的方式对回波信号进行处理，通过动态阈值分段弱正交匹配追踪进行稀疏迭代求解。在强壁杂波存在的情况下，组合滤波法能够有效地消除杂波检测出墙后目标。实验结果表明，该算法与传统单一主成分分析、奇异值分解和经验模态分解滤波相比，所成雷达像的子杂波比分别提高了1.57、1.52、1.26倍。

CS-TWR clutter suppression based on combination filtering

For the problem that the compressed sensing through-wall radar(CS-TWR) imaging process is seriously polluted by wall clutter,a combined filtering clutter suppression algorithm(CF) is proposed.The algorithm combines wavelet pre-filtering with statistical signal filtering to process the echo signal.The sparse iterative solution is performed by dynamic threshold segmentation weak orthogonal matching pursuit.In the presence of strong wall clutter,the CF can effectively eliminate clutter and detect the target behind the wall.The experiment results show that the CF algorithm improves the target clutter ratio(TCR) of radar image by 1.57,1.52 and 1.26 times,respectively,compared with the traditional principal component analysis(PCA),singular value decomposition(SVD) and empirical mode decomposition(EMD) filtering.