UNDERDETERMINED DOA ESTIMATION OF MULTI-PATH SIGNALS BASED ON ICA AND SPARSE RECONSTRUCTION

被引：0

作者：

Xiong, Kunlai ^{[1
]}

Liu, Zhangmeng ^{[1
]}

Liu, Zheng ^{[1
]}

Feng, Daowang ^{[1
]}

Jiang, Wenli ^{[1
]}

机构：

[1] Natl Univ Def Technol, Coll Elect Sci & Engn, Changsha, Hunan, Peoples R China

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2014年

关键词：

Underdetermined DOA estimation; ICA; multi-path; sparse reconstruction; OF-ARRIVAL ESTIMATION; SOURCE SEPARATION;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

This paper proposes a method for estimating the direction of arrival (DOA) of multi-path signals for an underdetermined case, where the number of incident signals exceeds the number of sensors. Some DOA estimation methods have already been proposed for multi-path signals. However, most of them cannot be used for an underdetermined case. To deal with this problem, we propose a novel DOA estimation method which combines independent component analysis (ICA) and sparse reconstruction algorithm. It can estimate DOA of M x (M - 1) incident signals when the number of sensors is M. The simulation results demonstrate the promising performance of the proposed algorithm compared to several state of the art methods.

引用

页数：4

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