Abstract:

During the deduction of blind signal separation algorithms,the commonly adopted steepest descent meth-od,natural gradient method and Newton’s method to minimize the contrast function may resuIt in the complexitv of the deduction.So.the momentum term is added in the derivation of the Cross.Cumulant-Zero-Forcing algorithm by imitating the addition of the momentum term in BP neural network to improve the algorithm ,which keeps the inde-pendence of the outputs to the limit,and is of a higher convergence speed than the original algorithm with the same briefness．Moreover．the local minimization in training can be avoided.Simulated results indicate that the proposed algorithm is of little separation error and is helpful to the effective separation of source signal.

Key words: blind signal separation, Contrast function, momentum term