Blind Source Separation Based on Variable Step Size Natural Gradient Algorithm
Pei Xue-guang · Shipboard Electronic Countermeasure · 2007
Compared with the standard gradient,natural gradient algorithm has faster convergence rate and better separation performance,so it occupies importance position in blind source separation.Because all of usual natural gradient algorithms adopt fix-step-size,they can not resolve the contradiction between convergence speed and the error in steady state.By building a nonlinear function relationship between the step size factor and the difference among the separating matrixes,the paper proposes a new natural gradient algorithm.Due to the algorithm's step-size is time-variable,the algorithm can improve convergence speed and reduce the steady state error,thus solves the internal contradiction of fix-step-size.Computer simulation result confirms the theoretical analysis and shows that the algorithms performance is superior to the usual natural gradient algorithm.