Underdetermined DOA estimation of quasi-stationary signals via Khatri-Rao structure for uniform circular array

被引：39
|
作者：
Cao, Ming-Yang [1 ]
Huang, Lei [1 ]
Qian, Cheng [1 ]
Xue, Jia-Yin [1 ]
So, H. C. [2 ]
机构：
[1] Harbin Inst Technol, Shenzhen Grad Sch, Dept Elect & Informat Engn, Shenzhen, Peoples R China
[2] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
来源：
SIGNAL PROCESSING | 2015年 / 106卷
基金：
中国国家自然科学基金;
关键词：
Underdetermined estimation; Manifold separation technique; Quasi-stationary signal; Khatri-Rao subspace approach; Uniform circular array; SOURCE ENUMERATION; LESS SENSORS; ROOT-MUSIC;
D O I：
10.1016/j.sigpro.2014.06.012
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Underdetermined direction-of-arrival (DOA) estimation for quasi-stationary signals impinging on a uniform circular array (UCA) with M sensors is addressed in this paper. We apply the Khatri-Rao (KR) approach to the UCA and obtain a new signal model which is capable of providing O(M-2) sensors. Meanwhile, the virtual steering matrix can be decomposed into a product of characteristic matrix depending on the array structure and a Vandermonde matrix bearing the DOA information. The exact number of virtual sensors that the KR-UCA model is able to provide is studied as well. Simulation results are included to demonstrate the effectiveness of the proposed method. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码：41 / 48
页数：8
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