A Hermitian Mapping Approach to Unitary Root-music Algorithm for Cyclostationary Signals
نویسندگان
چکیده
By Hermitian mapping, we suggest unitary cyclic root-MUSIC algorithm to exploit the signal selective property of cyclostationary signals in this paper. To deal with correlated or coherent case, we design the forward backward cyclic autocorrelation matrix, without conjugate centrosymmetric array configurations. Compared with unitary root-MUSIC algorithm, the proposed method has a better performance for uncorrelated signals or coherent signals from the mathematical analysis of the mean square error. Finally simulation results show the effectiveness of the proposed method.
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