A fast super-resolution method for coherent signals
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HUANG Lei;WU Shun-jun;ZHANG Lin-rang
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Abstract: A fast super-resolution method for coherent signals is developed. The novel signal subspace is obtained by the recursion of the spatially smoothed Lanczos algorithm, so it does not involve the eigendecomposition of the array covariance matrix as well as the backward recursion of the multistage wiener filter (MSWF), thereby indicating that the proposed method is more computationally efficient than the classical subspace based methods, such as the conventional EPSRIT method. The effectiveness of the proposed approach is verified by numerical results.
Key words: direction-of-arrival, ESPRIT method, rank reduction, multi-stage Wiener filter
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HUANG Lei;WU Shun-jun;ZHANG Lin-rang.
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URL: https://journal.xidian.edu.cn/xdxb/EN/
https://journal.xidian.edu.cn/xdxb/EN/Y2006/V33/I1/57
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