Robust DOA Estimation against Mutual Coupling with Nested Array

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Article number9146296
Pages (from-to)1360-1364
Journal / PublicationIEEE Signal Processing Letters
Volume27
Online published22 Jul 2020
Publication statusPublished - 2020

Abstract

In this letter, we focus on the problem of direction-of-arrival (DOA) estimation with a nested array in the presence of unknown mutual coupling. Firstly, the measurement model of the nested array with mutual coupling is established, and the properties of the corresponding array covariance matrix are derived. Based on the obtained properties, the coarray output signal is then reconstructed with reduced mutual coupling. Finally, joint sparse recovery technique is employed to extract the DOAs. Our algorithm can achieve underdetermined DOA estimation with satisfactory performance under unknown mutual coupling. Numerical results demonstrate the effectiveness of the proposed algorithm.

Research Area(s)

  • DOA estimation, joint sparse recovery, mutual coupling, mutual coupling matrix (MCM), nested array

Citation Format(s)

Robust DOA Estimation against Mutual Coupling with Nested Array. / Zheng, Zhi; Yang, Chaolin; Wang, Wen-Qin et al.
In: IEEE Signal Processing Letters, Vol. 27, 9146296, 2020, p. 1360-1364.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review