电讯技术2017，Vol.57Issue(9)：998-1003,6.DOI:10.3969/j.issn.1001-893x.2017.09.004
基于截断修正平滑l0范数的MIMO雷达目标参数估计
Target Parameter Estimation for MIMO Radars Based on Truncated Modified Smoothed l0 Norm
摘要
Abstract
Because of the ill-posed sensing matrix,the smoothed l0 norm(SL0) algorithm fails to estimate target parameter in multiple input multiple output(MIMO) radars. To solve this problem,the truncated modified smoothed l0 norm algorithm for MIMO radars is proposed. Based on the truncated singular value decomposition algorithm( TSVD) ,the retained singular values of sensing matrix are divided into the larger and smaller by the mean value of singular values. Then,the two groups of the singular values are modified by using different modified criterion. From the modified singular values,the SVD inverse transform is uti-lized to obtain a non ill-posed sensing matrix. Finally,the SL0 algorithm can be used to reconstruct the target signals in the MIMO radar by taking advantage of the obtained non ill-posed sensing matrix. There-fore,the target parameters can be fast estimated with high accuracy for MIMO radar. The validity of the proposed method is demonstrated with the numerical simulations.关键词
MIMO雷达/目标参数估计/平滑l0范数算法/病态矩阵/截断修正奇异值分解Key words
MIMO radar/target parameter estimation/smoothed l0 norm(SL0) algorithm/ill-posed matrix/truncated modified singular value decomposition分类
信息技术与安全科学引用本文复制引用
陈金立,李伟,唐彬彬,李家强..基于截断修正平滑l0范数的MIMO雷达目标参数估计[J].电讯技术,2017,57(9):998-1003,6.基金项目
国家自然科学基金资助项目(61302188,61372066) （61302188,61372066）
江苏省自然科学基金资助项目(BK20131005) （BK20131005）
江苏高校优势学科Ⅱ期建设工程资助项目 （）
