Improved subspace-based method for 2D DOA estimation with L-shaped array

被引：8
|
作者：
Liu, Mengyi [1 ]
Cao, Hui [2 ]
Wu, Yuntao [1 ]
机构：
[1] Wuhan Inst Technol, Hubei Prov Key Lab Intelligent Robot, Wuhan 430205, Peoples R China
[2] Wuhan Univ Technol, Sch Informat Engn, Wuhan 430073, Peoples R China
来源：
ELECTRONICS LETTERS | 2020年 / 56卷 / 08期
基金：
中国国家自然科学基金;
关键词：
singular value decomposition; direction-of-arrival estimation; vectors; real-valued singular value decomposition; left singular vectors; right singular vectors; weighted least squares method; complex-valued signal subspaces; real-valued SVD; subspace-based method; 2D DOA estimation; L-shaped array; 2D direction of arrival estimation; ESPRIT; MUSIC;
D O I：
10.1049/el.2019.4235
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：
An improved subspace-based method for 2D direction of arrival (DOA) estimation of an L-shaped array is proposed in this Letter. Based on real-valued singular value decomposition (SVD), the signal subspaces corresponding to the 2D DOA are obtained from the left and right singular vectors, respectively. Then, the weighted least squares method is utilised to estimate the DOAs from the reconstructed complex-valued signal subspaces, which are automatically paired. Owing to the real-valued SVD, the complexity of the proposed algorithm is reduced and numerical results confirm the effectiveness and accuracy of the proposed approach.
引用
收藏
页码：402 / 404
页数：3
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