Title :
A robust step size adaptation scheme for LMS adaptive filters
Author :
Kuzminskiy, A.M.
Author_Institution :
Lab. d´´Electron., CNAM, Paris, France
Abstract :
It is shown that the known gradient step size adaptation algorithm for adaptive filters has a limited application area: it is disabled when the conditions of an independence of input signal samples are violated. The reason of this statement is the nonequivalence of the mean square error (MSE) and output error minimization relatively to the step size for correlated input samples. A robust algorithm for an adaptive step size is proposed. Its efficiency is demonstrated by simulations
Keywords :
FIR filters; adaptive filters; adaptive signal processing; correlation methods; filtering theory; identification; least mean squares methods; signal sampling; FIR filter; FIR system identification; LMS adaptive filters; MSE; algorithm efficiency; correlated input samples; gradient step size adaptation algorithm; input signal samples independence; mean square error; output error minimization; robust step size adaptation; simulations; Adaptive control; Adaptive filters; Cathode ray tubes; Digital signal processing; Equations; Least squares approximation; Programmable control; Recursive estimation; Robustness; Size control;
Conference_Titel :
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Conference_Location :
Santorini
Print_ISBN :
0-7803-4137-6
DOI :
10.1109/ICDSP.1997.627956
