A method for reducing computations in cyclostationarity-exploiting beamforming

The existing self coherence restoral (SCORE) beamforming techniques have been shown to be capable of blindly extracting a desired signal in the presence of unknown noise and interference by exploiting the cyclostationarity of the signal of interest. The versions of SCORE which offer the best convergence properties require computation of the observed data cyclic correlation matrix. This can be a large computational burden, particularly if the number of antennas in the array is large. This paper introduces a method which requires only a column-wise subset of the cyclic correlation matrix. It is shown that in many cases the new method performs as well as existing SCORE methods yet requires many fewer computations