Efficient DOA Estimation for Coprime Array via Bi-Nuclear Schatten-p Norm Minimization

被引:0
作者
Jiang, Siyuan [1 ]
Liu, Shuai [2 ]
Jin, Ming [2 ]
Yan, Feng-Gang [2 ]
Lin, Zhiping [3 ]
机构
[1] Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150001, Peoples R China
[2] Harbin Inst Technol Weihai, Sch Informat Sci & Engn, Weihai 264209, Peoples R China
[3] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
关键词
Covariance matrices; Sensors; Sensor arrays; Direction-of-arrival estimation; Estimation; Matrix decomposition; Vectors; Minimization; Optimization; Array signal processing; Coprime array; DOA estimation; matrix recovery; Schatten-p norm; OF-ARRIVAL ESTIMATION; MATRIX COMPLETION;
D O I
10.1109/LSP.2025.3539252
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 this letter, we propose the Bi-nuclear Schatten-p norm minimization (BSNM) for coprime array to achieve the efficient direction of arrival (DOA) estimation. Specifically, BSNM factorizes a large Hermitian Toeplitz covariance matrix as the product of two small matrices, which not only improves the computational efficiency but also captures the low-rank property of the interpolated covariance matrix. This BSNM problem of the Hermitian Toeplitz matrix is then solved by a parallel alternating optimization algorithm. Finally, the recovered covariance matrix is applied to estimate the DOA via the MUSIC algorithm. Numerical simulation illustrates the superiority of the proposed BSNM method over state-of-the-art methods in terms of computational efficiency.
引用
收藏
页码:866 / 870
页数:5
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