A network structure approach to blind source separation using second order cyclic statistics

This paper addresses the problem of blind separation of cyclostationary sources. By using the cyclostationarity property of the source signals, a new criterion based on second order cyclic statistics (SOCS) is established, from which a network structure (NS) approach for blind source separation is proposed. Because the use of SOCS, the new approach requires few data samples and no restrictions on the distributions of the source signals. Simulation results are given to demonstrate the effectiveness of this new approach