Convolutive Blind Source Separation of Non-stationary Source

Signals obtained by sensor arrays are convolutive mixtures for multiple-sources and environment noises through multiple-paths.A novel approach of the blind source separation is proposed to remove the interferences of time-delay and environment noises.It takes up the multiple decorrelation approach assuming non-stationary signals and uses a least square optimization to estimate A or W as well as signal and noise powers.Experiment results illustrate the algorithm can get high separation performance for both non-stationary and convolved mixing signals.