VS-SC: A Variable Step Size NLMS Algorithm

Author

Casco, Fausto ; Medina-Ramírez, R. Carolina ; Lopez-Guerrero, Miguel ; Jalpa-Villanueva, César

Author_Institution

Univ. Autonoma Metropolitana Mexico City, Mexico City

fYear

2007

fDate

22-26 April 2007

Firstpage

896

Lastpage

899

Abstract

In this paper we introduce VS-SC, an efficient variable step size normalized LMS algorithm for updating the coefficients of a FIR structure in noise and echo canceling applications. In the VS-SC algorithm the step size adjustment is controlled by the square of the correlation between the output error and the adaptive filter output. The proposed algorithm is compared with the conventional normalized LMS algorithm and another variable step algorithm. Simulation results, using white noise, confirm that better convergence rates can be achieved with the proposed scheme.

Keywords

FIR filters; adaptive filters; convergence of numerical methods; correlation methods; least mean squares methods; white noise; FIR structure; adaptive filter output; convergence rate; correlation method; echo canceling application; normalized least mean square algorithm; variable step size NLMS algorithm; white noise; Adaptive algorithm; Adaptive filters; Convergence; Error correction; Estimation error; Least squares approximation; Signal processing; Size control; System identification; Variable structure systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2007. CCECE 2007. Canadian Conference on

Conference_Location

Vancouver, BC

ISSN

0840-7789

Print_ISBN

1-4244-1020-7

Electronic_ISBN

0840-7789

Type

conf

DOI

10.1109/CCECE.2007.229

Filename

4232888