Blind Extraction of Chaotic Signals from Convolutive Mixture Using Unscented Kalman Filter
Jiuchao Feng · Journal of Southwest University · 2010
Blind extraction of chaotic signals from a convolutive mixture is a challenging issue.Assuming that the dynamics of the chaotic signals to be extracted is known,the determination of the desired extracting vector is formulated as the problem of state estimation of nonlinear systems.In this paper,a blind extraction method is proposed,which is based on unscented Kalman filter(UKF).Simulation results have confirmed the effectiveness of the proposed method under noiseless or high SNR's channels.