A blind source separation algorithm using particle swarm optimization

In this paper, a cost function of independence of signals based on second order correlation coefficient and high order correlation coefficient is proposed, and an algorithm for linear blind source separation is presented by applying adaptive particle swarm optimization to the cost function. The proposed algorithm for linear blind source separation is characterized with high accuracy, robustness, and convergence rate. Simulation results show that the proposed approach has very good performance.