Wideband DOA Estimation Based on Tensor Completion and Decomposition

被引:1
作者
Li, Kangning [1 ]
Shen, Qing [1 ]
Liu, Wei [2 ]
Wang, Min [1 ]
机构
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing, Peoples R China
[2] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London, England
来源
2024 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS 2024 | 2024年
基金
中国国家自然科学基金;
关键词
Wideband DOA estimation; underdetermined; tensor completion; gridless method; denoising; VIRTUAL ARRAY CONCEPT; OF-ARRIVAL ESTIMATION; COPRIME ARRAY; NESTED ARRAYS; EXTENSION;
D O I
10.1109/ISCAS58744.2024.10558253
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A tensor-based wideband direction of arrival (DOA) estimation method is proposed in this paper. Virtual arrays are initially generated and extended into a unified ULA across all frequencies of interest. Next, the covariance matrices of these virtual array models are computed and stacked to form a three-dimensional tensor. Then, tensor completion with a denoising step is presented, and DOAs can be obtained after tensor decomposition. Simulations demonstrate that improved performance can be achieved by the proposed method in scenarios with varying source power ratios across frequencies.
引用
收藏
页数:5
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