DOA Estimation Using Coprime Array in the Presence of Unknown Nonuniform Noise

In this paper, we design an effective algorithm for direction-of-arrival (DOA) estimation using the coprime array in the presence of unknown nonuniform noise. Firstly, we replace the diagonal entries of the array covariance matrix with zeros and generate the coarray output signal by vectorization an...

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Bibliographic Details
Published in:Circuits, systems, and signal processing systems, and signal processing, 2022-05, Vol.41 (5), p.3000-3010
Main Authors: Huang, Yixiao, Zheng, Zhi, Wang, Wen-Qin
Format: Article
Language:English
Subjects:
Algorithms
Arrays
Circuits and Systems
Covariance matrix
Direction of arrival
Electrical Engineering
Electronics and Microelectronics
Engineering
Instrumentation
Interpolation
Linear prediction
Mathematical analysis
Redundancy
Short Paper
Signal,Image and Speech Processing
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Summary:In this paper, we design an effective algorithm for direction-of-arrival (DOA) estimation using the coprime array in the presence of unknown nonuniform noise. Firstly, we replace the diagonal entries of the array covariance matrix with zeros and generate the coarray output signal by vectorization and removing redundancy. Subsequently, we build a Toeplitz matrix via virtual array interpolation, and utilize matrix completion and linear prediction to recover the missing interpolated and diagonal entries, respectively. Finally, we acquire the source DOAs by applying the MUSIC algorithm on the reconstructed covariance matrix. Numerical results demonstrate the superiority of the proposed algorithm in comparison with several existing approaches.
ISSN:0278-081X
1531-5878
DOI:10.1007/s00034-021-01920-5