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Direction Finding for Bistatic MIMO Radar with Unknown Spatially Colored Noise

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Abstract

In this paper, we investigate the problem of joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation for bistatic multiple-input multiple-output radar with unknown spatially colored noise. By exploiting the sparse structure of the noise covariance matrix, a new de-noising scheme is designed. The signal covariance matrix is recast as a low-rank matrix with missing entries, which can be approximately tackled via solving an optimization problem. Thereafter, DODs and DOAs are obtained with the traditional subspace techniques. The proposed method does not bring any virtual aperture loss; thus, it achieves more accurate estimation performance than several state-of-the-art de-noising methods. Finally, the stochastic Cramer–Rao bound for joint direction finding is derived. Numerical computer simulations verify the effectiveness of the proposed algorithm.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (61701046, 61601504 and 61571349).

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Authors and Affiliations

  1. Electronic and Information School, Yangtze University, Jingzhou, 434023, China

    Fangqing Wen

  2. National University of Defense Technology, Hefei, 230037, China

    Junpeng Shi

  3. National Laboratory of Radar Signal Processing, Xidian University, Xi’an, 710071, China

    Zijing Zhang

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  1. Fangqing Wen
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  3. Zijing Zhang
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Correspondence to Junpeng Shi.

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Wen, F., Shi, J. & Zhang, Z. Direction Finding for Bistatic MIMO Radar with Unknown Spatially Colored Noise. Circuits Syst Signal Process 39, 2412–2424 (2020). https://doi.org/10.1007/s00034-019-01260-5

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