Blind Source Separation Algorithm for Time Varying Channel

Aiming at the problem of blind source separation (BSS) in time varying channel, two real time BSS algorithms are presented:equivariant adaptive source separation via independence (EASI) BSS algorithm based on optimal selective function (EASI-function) and BSS based on optimal selective function algorithm with variable step-size based on kurtosis (EASI-function-KVS). EASI-function algorithm adopts the different estimate function in different stage to get the balance between divergence speed and steady-state performance. And the EASI-function-KVS algorithm changes the step-size adaptively based on kurtosis thought so as to improve the performance of algorithm. Simulation results show that the algorithms in the paper can trace the channel changes effectively and the performance is superior to that of conventional EASI algorithm.