Variable step size decorrelation Volterra LMS algorithm
Junna Shang · Computer Engineering and Applications Journal · 2010
For Volterra filter is nonlinear,the impact of nonlinear operations on the input signal results in that the date correlation matrix consists of higher order statistics and eigen values spread,so its convergence speed is very slow.This paper proposes a kind of algorithm of second order Volterra LMS algorithm using varying step size and decorrelation.Decorrelation can accelerate the convergence speed,and varying step size can improve steady state.The combination of both sides is able to improve the original algorithm's convergence performance obviously.The simulation results have shown that the convergence speed of the improved algorithm is faster than that of VLMS algorithm,and the steady state of the improved algorithm is better than that of VLMS algorithm.