Robust DOA Estimation against Mutual Coupling with Nested Array
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 9146296 |
Pages (from-to) | 1360-1364 |
Journal / Publication | IEEE Signal Processing Letters |
Volume | 27 |
Online published | 22 Jul 2020 |
Publication status | Published - 2020 |
Link(s)
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.
In: IEEE Signal Processing Letters, Vol. 27, 9146296, 2020, p. 1360-1364.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review