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《Systems Engineering and Electronics》 2018-02
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Real-value-based trilinear decomposition-based direction estimation algorithm for bistatic MIMO radar in the presence of mutual coupling

YANG Kang;WEN Fangqing;HUANG Dongmei;ZHANG Lei;WANG Ke;The 28th Research Institute,China Electronics Technology Group Corporation;State Key Laboratory of Air Traffic Management System and Technology;Electronic and Information School,Yangtze University;Information Department,Naval Command College;  
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.
【Fund】: 国家自然科学基金(61701046 61471191 61501233);; 长江大学电子信息学院创新基金项目(2016-DXCX-05)资助课题
【CateGory Index】: TN958
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