电讯技术2017，Vol.57Issue(10)：1122-1127,6.DOI:10.3969/j.issn.1001-893x.2017.10.004
基于低秩稀疏约束的穿墙雷达成像算法
A Through-the-Wall Radar Imaging Algorithm Based on Low Rank and Sparsity Constraint
摘要
Abstract
By exploiting the low-rank property of the wall reflection signal and sparsity property of the ob-served scene, a low rank and sparsity constraint based imaging algorithm for through-the-wall radar ( TWR) system is proposed. The proposed imaging method exploits the singular value soft-thresholding and l1 norm minimization technique to perform iteration to solve the low rank and sparsity constraint optimi-zation problem. It adopts compressive sensing framework to achieve the accurate imaging reconstruction of targets behind the wall in the presence of strong wall reflection signal. The imaging results of simulation data and experimental data have verified the effectiveness and validity of the proposed imaging algorithm.关键词
穿墙雷达/成像算法/低秩/稀疏约束/压缩感知Key words
through-the-wall radar ( TWR)/imaging algorithm/low rank/sparsity constraint/compressive sensing分类
信息技术与安全科学引用本文复制引用
屈乐乐,葛亚楠,蓝晓宇..基于低秩稀疏约束的穿墙雷达成像算法[J].电讯技术,2017,57(10):1122-1127,6.基金项目
国家自然科学基金资助项目(61671310,61302172) （61671310,61302172）
航空科学基金资助项目(2016ZC54013) （2016ZC54013）
