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Joint DOD and DOA Estimation for Bistatic MIMO Radar in the Presence of Unknown Mutual Coupling

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Abstract

In this paper, we address the problem of angle estimation in bistatic multiple-input multiple-output (MIMO) radar with unknown mutual coupling and devise an effective algorithm for joint direction-of-arrival (DOA) and direction-of-departure (DOD) estimation. By using the special structure of mutual coupling matrix of uniform linear array, we firstly derive a covariance matrix without mutual coupling effects from the covariance matrix of the matched filter outputs. Based on the covariance matrix, we further formulate an atomic norm minimization problem to reconstruct a noise-free covariance matrix. Finally, we estimate the DOAs and DODs of the targets by applying MUSIC algorithm on the reconstructed low-rank matrix. Numerical results demonstrate the advantage of the proposed algorithm over the existing approaches.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant 62171089, in part by the National Key Research and Development Program of China under Grant 2019QY0705 and in part by the Natural Science Foundation of Sichuan Province under Grant 2022NSFSC0497.

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Authors and Affiliations

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

    Yang Xu & Zhi Zheng

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

    Yang Xu & Zhi Zheng

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  1. Yang Xu
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Correspondence to Zhi Zheng.

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Xu, Y., Zheng, Z. Joint DOD and DOA Estimation for Bistatic MIMO Radar in the Presence of Unknown Mutual Coupling. Circuits Syst Signal Process 42, 2468–2479 (2023). https://doi.org/10.1007/s00034-022-02201-5

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  • DOI: https://doi.org/10.1007/s00034-022-02201-5

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