Robust blind adaptive beamforming for cyclostationary signals

This paper deals with the problem of robust adaptive array beamforming for cyclostationary signals. By exploiting the signal cyclostationarity, blind adaptive beamforming algorithms have found numerous important applications in signal processing. However, these methods suffer from severe performance degradation even if there is a small mismatch in the cycle frequency of the desired signal. In this paper, we propose the efficient robust scheme based on the conventional cyclic adaptive beamforming (CAB) algorithm against the mismatch in the cycle frequency. The performance of the proposed techniques is compared with that of existing blind cyclic beamforming approaches by simulation examples, the results of which demonstrate a marked improvement in the robustness against imprecisely knowledge of the cycle frequency