A new proportionate fast LMS/Newton algorithm for adaptive filtering

Author

Zhou, Y. ; Chan, S.C. ; Ho, K.L.

Author_Institution

Dept. of Electr. & Electron. Eng., Hong Kong Univ.

fYear

2005

fDate

17-20 July 2005

Firstpage

115

Lastpage

120

Abstract

This paper proposes a new proportionate adaptive filtering algorithm which exploits the advantageous features of the generalized proportionate NLMS (GP-NLMS) algorithm and the fast LMS/Newton algorithm. By means of an efficient switching mechanism, the new algorithm works alternately between the GP-NLMS and the fast LMS/Newton algorithms in order to combine their respective advantages. The overall converging speed and steady state performance for both sparse and dispersive channels as well as tracking performance are thus significantly improved. Computer simulations on an echo cancellation problem verify the superior performance of the new algorithm over both the GP-NLMS algorithm and the conventional fast LMS/Newton algorithm

Keywords

Newton method; adaptive filters; dispersive channels; echo suppression; least mean squares methods; telecommunication switching; tracking filters; adaptive filtering; dispersive channel; echo cancellation; fast LMS-Newton algorithm; generalized proportionate NLMS; steady state performance; switching mechanism; tracking performance; Adaptive filters; Arithmetic; Computer simulation; Convergence; Delay estimation; Dispersion; Echo cancellers; Filtering algorithms; Least squares approximation; Steady-state;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on

Conference_Location

Novosibirsk

Print_ISBN

0-7803-9403-8

Type

conf

DOI

10.1109/SSP.2005.1628575

Filename

1628575