Adaptive beamforming using the cyclostationarity of the source signals

The conventional beamformers based on the projection methods are known to degrade due to the subspace swap at low signal-To-noise ratio values and the high or inaccurate dimension of subspace. A novel beamforming technique that combines the constructed covariance matrix and the estimated steering vector is proposed. The steering vector of each source signals is estimated using its cyclostationarity. Unlike the projection methods, the signal-plus-interference covariance matrix is constructed by further estimating the power of each source signals but avoiding forming the subspace. Numerical examples illustrate the notable improvement in comparison with existing beamforming techniques.