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Grid Adaptive DOA Estimation Method in Monostatic MIMO Radar Using Sparse Bayesian Learning

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Communications, Signal Processing, and Systems (CSPS 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 571))

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Abstract

In monostatic Multi-Input Multi-Output (MIMO) radar system, Direction Of Arrival (DOA) estimation is important for target detection. However, conventional MIMO DOA estimation approaches suffers from the off-grid issue which refers that the real DOAs deviate from the predefined grid points. In this paper, a grid adaptive DOA estimation method is proposed to address the off-grid error and the improper initial grid problem for monostatic MIMO radar system. We construct a Bayesian learning framework with Laplacian prior to adjust grid and observation dictionary adaptively. Simulation results show the superior performance of the proposed method in terms of high angle resolution and robustness against the noise by comparing with the state-of-the-art DOA estimation methods in MIMO radar system.

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Author information

Authors and Affiliations

  1. Wireless Signal Processing and Network Laboratory, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Yue Wang, Kangyong You, Dan Wang & Wenbin Guo

  2. Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory, Shijiazhuang, China

    Yue Wang & Wenbin Guo

Authors
  1. Yue Wang
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  2. Kangyong You
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  3. Dan Wang
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  4. Wenbin Guo
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Corresponding author

Correspondence to Wenbin Guo .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  3. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China

    Zhenyu Na

  5. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

    Min Jia

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Wang, Y., You, K., Wang, D., Guo, W. (2020). Grid Adaptive DOA Estimation Method in Monostatic MIMO Radar Using Sparse Bayesian Learning. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_21

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9408-9

  • Online ISBN: 978-981-13-9409-6

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