Robust DOA estimation for two‐level nested arrays in unknown mutual coupling

• Published in: Electronics letters 2024-07, Vol.60 (13), p.n/a
• Main Authors: He, Shun, Li, Xue, Sun, Bing
• Format: Article
• Language: English
• Subjects: arrays; couplings; direction of arrival estimation; sparse matrices
• ISSN: 0013-5194; 1350-911X
• DOI: 10.1049/ell2.13255

Aiming at solving the problem that the capability of direction of arrival method for estimation of nested arrays decreases sharply under unknown mutual coupling, an iterative weighted low‐rank matrix reconstruction algorithm is proposed here. First, the received data covariance matrix is extended, and a weighted low‐rank matrix recovery problem is formulated for joint estimations of the Toeplitz matrix and mutual coupling coefficients. Next, the direction of arrival from recovered Toeplitz matrix is retrieved by using the root multiple signal classification algorithm. Simulation results show that iterative weighted low‐rank matrix reconstruction algorithm can effectively avoid the influence of mutual coupling while solving the grid‐mismatch problem so that the accuracy and the resolution of estimation are improved. This paper primarily focuses on the direction of arrival estimation of nested arrays. It solves the problem of a sharp decrease in the capability of direction of arrival estimation methods for nested arrays under unknown mutual coupling. We confirm that this paper has not been previously published, either in whole or in part.