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Robust angle estimation algorithm for MIMO radar based on tensor analysis and reduced-dimension subspace reconstruction

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Abstract

A robust angle estimation algorithm based on tensor analysis and reduced-dimension subspace reconstruction is proposed for the noncircular signals with unknown mutual coupling in MIMO radar. The proposed algorithm constructs a special tensor analysis to capture the non-circular characteristics and multi-dimensional structure of non-circular signals, and can eliminate the influence of mutual coupling in the tensor domain. The signal subspace is obtained by using high-order singular value decomposition (HOSVD), and the direction-of-departure (DOD) of the target is obtained by combining the real value subspace estimation of direction of arrival (DOA). In addition, according to the working principle and echo model of bistatic MIMO radar, combined with array signal processing, the angle estimation algorithm of reduced-dimension subspace reconstruction is proposed, which can effectively solve the angle estimation problem of bistatic MIMO radar, reduce the calculation cost, improve the robustness of the algorithm, and solve the problem that angle matching cannot be realized after dimension reduction. The simulation results show that the algorithm proposed in this paper has good performance in recognition.

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Authors and Affiliations

  1. School of Telecommunications Engineering, Xidian University, Xi’an, 710071, Shaanxi, China

    Chaochen Tang

  2. School of Information and Communication, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China

    Hongbing Qiu

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  1. Chaochen Tang
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  2. Hongbing Qiu
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Correspondence to Chaochen Tang.

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Tang, C., Qiu, H. Robust angle estimation algorithm for MIMO radar based on tensor analysis and reduced-dimension subspace reconstruction. J Ambient Intell Human Comput (2020). https://doi.org/10.1007/s12652-020-01959-3

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