一种低秩联合稀疏模型下的杂波抑制方法  

Method for suppressing clutters with the joint low-rank and sparse model

作　　者：黄臣 刘宏清[2] 罗臻 周翊[1] HUANG Chen;LIU Hongqing;LUO Zhen;ZHOU Yi(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Chongqing Key Lab of Mobile Communications Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]重庆邮电大学重庆市移动通信重点实验室,重庆400065

出　　处：《西安电子科技大学学报》2019年第6期60-66,共7页Journal of Xidian University

基　　金：国家自然科学基金（61801066）;重庆市研究生科研创新项目（CYS19249）

摘　　要：针对现有穿墙雷达探测研究中,墙体回波抑制算法需要采集全部雷达回波导致运算复杂的问题,提出了一种低秩联合稀疏模型下的墙体回波抑制方法。在提出的方法中,从雷达回波中分离墙体回波和目标回波的任务被转化为一个低秩保持和稀疏约束的优化模型,并使用交替方向乘子法求解该优化模型;最后分离出墙体回波后的回波信号被用于雷达成像。仿真实验结果表明,该方法对各种情况下的墙体回波都能有效去除。与当前经典的奇异值分解、迭代软阈值方法相比,所提出的杂波抑制方法在穿墙雷达成像中具有更高的目标杂波比。The existing method for suppression of clutters of the through-the-wall radar system requires full size data,which may increase the complexity of the system.To this end,a wall clutter suppression method with the joint low-rank and sparse model is developed in this paper.In the proposed method,the task of separating wall clutters and target returns is transformed into a low-rank and sparse constrained optimization model requiring less data.To solve this optimization,the alternating direction method for multipliers is adopted.After clutter suppression,the return signals are used for the image formation.Experimental results demonstrate that the proposed method is significantly effective on clutter suppression in different scenes.Compared with the existing methods such as singular value decomposition and iterative soft thresholding,the proposed method has a higher target-to-clutter ratio in the radar imaging results.

关 键 词：穿墙雷达 杂波抑制 低秩 稀疏重构 

分 类 号：TN957.52[电子电信—信号与信息处理]