Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (2): 314-321.doi: 10.3969/j.issn.1001-506X.2018.02.12

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Real-value-based trilinear decomposition based direction estimation algorithm for bistatic MIMO radar in the presence of mutual coupling

YANG Kang1,2, WEN Fangqing3, HUANG Dongmei4, ZHANG Lei3, WANG Ke3   

  1. 1. The 28th Research Institute, China Electronics Technology Group Corporation, Nanjing 210007, China;
    2. State Key Laboratory of Air Traffic Management System and Technology, Nanjing 210007, China;
    3. Electronic and Information School, Yangtze University, Jingzhou 434023, China;
    4. Information Department, Naval Command College, Nanjing, 210016, China
  • Online:2018-01-25 Published:2018-01-23

Abstract: This research addresses the problem of joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation for bistatic multiple input multiple output (MIMO) radar in the presence of mutual coupling. To exploit the multidimensional structure inherent in the array signal, the matched data are formulated as a three order tensor. Taking the banded Toeplitz structure of the mutual coupling matrix into consideration, the mutual coupling effect can be removed with the property of the same scale transform shared by the parts of the array elements. Combined with the unitary transform technique and forward backward averaging techniques, an expanded trilinear model is constructed. Besides, since the expanded trilinear model is real valued, the proposed algorithm is economic in computation. Finally, simulation examples are taken to verify the effectiveness of the proposed algorithm.

CLC Number: 

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