A new algorithm for blind separation of cyclostationary source from linear mixtures

This paper addresses the problem of separating a cyclostationary source from linear mixtures. It first shows that if the cyclic frequencies of the source of interest are known and different from those of the interfering sources, perfect source separation can be achieved using the proposed separation criterion. Then an algorithm is derived to perform the blind source separation. Simulation results demonstrate the validity of the proposed algorithm.