Blind Adaptive Beamforming for Cyclostationary Signals: A Subspace Projection Approach

In this letter, we present an efficient method for blind adaptive beamforming with cyclostationary signals. In comparison with the SCORE algorithms of Agee et al. (Proc. IEEE, vol. 78, no. 4, pp. 753-767, Apr. 1990), the proposed method achieves better performance than the LS-SCORE algorithm due to using a subspace projection. Moreover, the proposed method requires significantly less computational complexity than the Cross-SCORE algorithm because a fast subspace decomposition algorithm can be utilized. Extension of the proposed method to deal with the situation of multiple signals of interest (SOIs) is also presented. Simulation results for showing the effectiveness of the proposed method are provided.