Robust Weighted Subspace Fitting for DOA Estimation via Block Sparse Recovery

被引:54
|
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
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
收藏
页码:563 / 567
页数:5
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