Underdetermined DOA Estimation for Uniform Circular Array Based on Sparse Signal Reconstruction

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：

2016 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP) | 2016年

关键词：

Sparse signal reconstruction; Khatri-Rao; underdetermined DOA estimation; l(1)-based optimization;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

This paper proposes a novel sparsity-aware method that can estimate more sources than the number of sensors available based on the l(1) optimization technique. This approach enforces sparsity by l(1) penalization and restricting error by l(2)-norm which enables the reconstruction of sparse signals. By using the Khatri-Rao (KR) subspace approach, we obtain an increase in the degrees of freedom (DOFs). Thus, using uniform circular array (UCA), we can perform underdetermined DOA estimation for sparse signals. Simulation results confirms the effectiveness of the proposed method.

引用

页码：1012 / 1013

页数：2

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