Bibliography on cyclostationarity
Signal Processing
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In this paper, a new method for blind spatial signal filtering is proposed. It utilizes the selectivity property of the higher-order cyclostationary statistics exhibited by the signal of interest to accurately estimate its unknown steering vector, also in the presence of strong frequency-overlapped interfering signals, which would render the standard stationarity-based techniques ineffective. The method is useful when the desired signal cannot be accurately extracted by exploiting its second-order cyclostationarity properties, as proposed in Schell and Gardner (1993). A performance analysis, carried out by computer simulations in the case of QAM-modulated signals with partially overlapping bands, substantiates the effectiveness of the proposed method.