Robust Weighted Subspace Fitting for DOA Estimation via Block Sparse Recovery

被引：53

作者：

Meng, Dandan ^{[1
,2
]}

Wang, Xianpeng ^{[1
,2
]}

Huang, Mengxing ^{[1
,2
]}

Wan, Liangtian ^{[3
]}

Zhang, Bin ^{[4
]}

机构：

[1] Hainan Univ, State Key Lab Marine Resource Utilizat South Chin, Haikou 570228, Hainan, Peoples R China

[2] Hainan Univ, Coll Informat Sci & Technol, Haikou 570228, Hainan, Peoples R China

[3] Dalian Univ Technol, Sch Software, Dalian 116024, Peoples R China

[4] Kanagawa Univ, Dept Mech Engn, Yokohama, Kanagawa 2218686, Japan

来源：

IEEE COMMUNICATIONS LETTERS | 2020年 / 24卷 / 03期

基金：

中国国家自然科学基金;

关键词：

DOA estimation; weighted subspace fitting; unknown mutual coupling; robust block sparse recovery; OF-ARRIVAL ESTIMATION; ANGLE ESTIMATION; ARRAY; PERSPECTIVE;

D O I：

10.1109/LCOMM.2019.2958913

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In this letter, a novel robust block sparse recovery algorithm by using the weighted subspace fitting (WSF) is proposed to deal with the direction-of-arrival (DOA) problem under the condition of unknown mutual coupling. Firstly, a novel block sparse representation signal model based on the WSF is established to settle the effect of unknown mutual coupling. Then, the sparse constraint problem is investigated, and a regularization criterion between the sparsity penalty and subspace fitting error is given. Finally, the DOA estimation problem can be converted into a block sparse recovery problem. Some experimental results are carried out to prove the performance of proposed method in the case of unknown mutual coupling.

引用

页码：563 / 567

页数：5

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