Distributed Source DOA Estimation for More Sources than Sensors Using Sparse Circular Arrays

被引：0

作者：

Basikolo, Thomas ^{[1
]}

Ichige, Koichi ^{[1
]}

Arai, Hiroyuki ^{[1
]}

机构：

[1] Yokohama Natl Univ, Dept Elect & Comp Engn, Hodogaya Ku, 79-5 Tokiwadai, Yokohama, Kanagawa 2408501, Japan

来源：

2017 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP 2017) | 2017年

关键词：

distributed source; MUSIC algorithm; sparse circular arrays; underdetermined DOA estimation;

D O I：

暂无

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：

In wireless communications, the signal that a base station receive cannot be regarded as a point source because of the multipath propagation. A distributed source model is more suitable for the realistic scenario due to some environmental phenomenon. This paper presents subspace based method for distributed source direction of arrival estimation. Using nested sparse circular arrays, we are capable of estimating more distributed sources than the number of sensors. Simulation results confirms the effectiveness of the proposed method.

引用

页数：2

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