New blind deconvolution algorithm for SIMO channel

An SS(successive substitution) convolutive BSS algorithm is developed for convolutive BSS problems where the number of mixtures is larger than the number of sources.And based on the least square error criterion,this problem can be transformed to solve an optimization problem with respect to the channel parameters and the sources.By taking the derivatives and setting the derivatives to be zeros,two expressions with respect to the channel parameters and source signals can be obtained respectively.By alternatively update the channel parameters and sources using these two expressions,the algorithm will be convergent ultimately.Then the estimations of the sources is obtained and it is easy to implement the proposed algorithm.Simulation results show that the proposed algorithm have a great performance in the case of FIR SIMO.