基于子空间技术中奇异向量分析的穿墙雷达杂波抑制方法

穿墙雷达成像中，墙体反射杂波干扰严重，严重影响目标成像效果.子空间技术对回波信号矩阵进行奇异值分解后去除墙体子空间，可以有效的抑制墙体杂波干扰，在穿墙雷达成像中具有广泛的应用.该文针对子空间技术中墙体与目标子空间的划分这一难题，提出一种基于奇异向量平稳度分类的墙体子空间提取技术.该方法利用墙体回波信号的相关特征，根据奇异值分解后各个左奇异向量的平稳程度来精确划分墙体与目标子空间.实验结果表明，与现有技术相比，该方法对墙体子空间的确定更加精准有效，提高了穿墙雷达墙体杂波干扰抑制能力，改善了墙后目标的成像质量.

A Singular Vector Stationarity Method for Clutter Mitigation in Through-the-Wall Radar Based on Subspace Method

In Through-the-Wall Imaging (TWI),the target image is often buried in the wall reflections and other clutter waves,and the target image cannot be obtained.Subspace technique uses the received echo matrix Singular Value Decomposition (SVD) to remove the wall subspace,it is a mature technique and has broad applications in TWI.In order to distinguish the wall subspace and the target subspace,this paper presents a new wall subspace extractive method based on the stationarity of left-singular vector.SVD is applied to the echo matrix and the left-singular vectors are used to determine the subspace belonging to the wall or the target.Compared with the traditional subspace technique,this method has a better performance in wall subspace extraction.Meanwhile,the capability of suppressing wall clutter is enhanced,and the quality of the target imaging is improved.