A novel robust adaptive beamforming for cyclostationary signals

Robust blind adaptive beamforming for cyclostationary signals is considered in this paper. Least square spectral self-coherence restroal (LS-SCORE) algorithm proposed by Agee et al. is an effective blind adaptive beamforming by exploiting signal cyclostationary. However, LS-SCORE suffers from severe performance degradation even if there is a small mismatch in the cycle frequency of the desired signal. A novel method is presented to improve the robustness to the cyclic frequency error, which is a windowing version of LS-SCORE beamformer. Illustration example is given to show the effectiveness of the proposed algorithm.