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

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Abstract

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.

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Acknowledgements

This work is supported in part by the National Natural Science Foundation of China under Grant 62171089, and by the Sichuan Science and Technology Program under Grant 2019YJ0191.

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Authors and Affiliations

  1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Yixiao Huang, Zhi Zheng & Wen-Qin Wang

  2. Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, 313001, China

    Zhi Zheng & Wen-Qin Wang

Authors
  1. Yixiao Huang
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  2. Zhi Zheng
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  3. Wen-Qin Wang
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Correspondence to Zhi Zheng.

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Huang, Y., Zheng, Z. & Wang, WQ. DOA Estimation Using Coprime Array in the Presence of Unknown Nonuniform Noise. Circuits Syst Signal Process 41, 3000–3010 (2022). https://doi.org/10.1007/s00034-021-01920-5

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