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Angle estimation for bistatic MIMO radar with unknown mutual coupling based on three-way compressive sensing 被引量：4
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作者 Xinhai Wang Gong Zhang +2 位作者 Fangqing Wen De Ben Wenbo Liu 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2017年第2期257-266,共10页
The problem of angle estimation for bistatic multiple-input multiple-output radar in the present of unknown mutual coupling (MC) is investigated, and a three-way compressive sensing (TWCS) estimation algorithm is deve... The problem of angle estimation for bistatic multiple-input multiple-output radar in the present of unknown mutual coupling (MC) is investigated, and a three-way compressive sensing (TWCS) estimation algorithm is developed. To exploit the inherent multi-dimensional structure of received data, a trilinear tensor model is firstly formulated. Then the de-coupling operation is followed. Thereafter, the high-order singular value decomposition is applied to compress the high dimensional tensor to a much smaller one. The estimation of the compressed direction matrices are linked to the compressed trilinear model, and finally two over-complete dictionaries are constructed for angle estimation. Also, Cramer-Rao bounds for angle and MC estimation are derived. The proposed TWCS algorithm is effective from the perspective of estimation accuracy as well as the computational complexity, and it can achieve automatically paired angle estimation. Simulation results show that the proposed method has much better estimation accuracy than the existing algorithms in the low signal-to-noise ratio scenario, and its estimation performance is very close to the parallel factor analysis (PARAFAC) algorithm at the high SNR regions. © 2017 Beijing Institute of Aerospace Information. 展开更多
关键词 Channel estimation Codes (symbols) Compressed sensing Cramer Rao bounds Feedback control MIMO radar MIMO systems Radar Radar signal processing Signal reconstruction Singular value decomposition Telecommunication repeaters TENSORS
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