DocumentCode
1419894
Title
DOA Estimation Based on Sparse Signal Recovery Utilizing Weighted 
-Norm Penalty
Author
Xu, Xu ; Wei, Xiaohan ; Ye, Zhongfu
Author_Institution
Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, China
Volume
19
Issue
3
fYear
2012
fDate
3/1/2012 12:00:00 AM
Firstpage
155
Lastpage
158
Abstract
In this letter, a new DOA estimation method based on sparse signal recovery is proposed. We utilize the Capon spectrum to design a weighted l1-norm penalty in order to further enforce the sparsity and approximate the original l0-norm. A theoretical guidance for choosing a proper regularization parameter is also presented according to the dual form of the original problem. Simulation results demonstrate the effectiveness and efficiency of the proposed method.
Keywords
approximation theory; convex programming; direction-of-arrival estimation; signal representation; signal restoration; spectral analysis; Capon spectrum; DOA estimation; convex optimization; direction of arrival estimation; l0-norm approximation; regularization parameter; sparse signal recovery; weighted l1-norm penalty design; Approximation methods; Arrays; Covariance matrix; Direction of arrival estimation; Estimation; Sparse matrices; Vectors; Convex optimization; direction of arrival (DOA); sparse signal recovery; weighted $l_{1}$ -norm penalty;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2012.2183592
Filename
6129390
Link To Document