Direction-Of-Arrival Estimation Using AMLSS Method

被引：9

作者：

Atashbar, M. ^{[1
]}

Kahaei, M. H. ^{[1
]}

机构：

[1] Iran Univ Sci & Technol, Sch Elect Engn, Tehran, Iran

来源：

IEEE LATIN AMERICA TRANSACTIONS | 2012年 / 10卷 / 05期

关键词：

DOA estimation; maximum likelihood; LASSO nonnegative sparse; EXACT SPARSE REPRESENTATIONS; REGRESSION SHRINKAGE; PERFORMANCE ANALYSIS; MAXIMUM-LIKELIHOOD; RECOVERY; LOCALIZATION; SELECTION; ESPRIT;

D O I：

10.1109/TLA.2012.6362348

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose the AMLSS method for DOA estimation of narrow-band signals. In this method, the distribution of covariance matrix estimation error is used for Maximum Likelihood estimation of potential source signals variances. This leads to a nonnegative LASSO sparse model for which a new criterion is proposed to determine the regulation parameter. Simulation results show that the performance of this method in estimation of the number of sources is more accurate than the Picard, MUSIC, and SPICE methods. Also, it outperforms Picard and SPICE methods in accurate DOA estimation.

引用

页码：2053 / 2058

页数：6

共 32 条

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[2]

Boyd S., 2004, CONVEX OPTIMIZATION, VFirst, DOI DOI 10.1017/CBO9780511804441

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