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
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.
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页数:4
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