A VS-LMS algorithm using normalized absolute estimation error

Author

Kim, D.W. ; Choi, J.H. ; Choi, Y.S. ; Jeon, C.H. ; Ko, H.Y.

Author_Institution

Dept. of Electr. Eng., Chungang Univ., Seoul, South Korea

Volume

2

fYear

1996

fDate

26-29 Nov 1996

Firstpage

692

Abstract

Variable step size LMS(VS-LMS) algorithms improve the performance of the LMS algorithm by means of varying the step size. This paper presents a new VS-LMS algorithm using normalized absolute estimation error. Normalizing the estimation error to the expected value of the desired signal, we determined the step size using the relative size of estimation error. Because the parameter and computational load is less, our algorithm is easy to implement in hardware. The performance of the proposed algorithm is analyzed theoretically and estimated through simulations. Based on the theoretical analysis and computer simulations, the proposed algorithm is shown to be effective compared to conventional VS-LMS algorithms

Keywords

error analysis; least mean squares methods; signal processing; VS-LMS algorithm; computational load; normalized absolute estimation error; performance; variable step size LMS; Adaptive filters; Additive noise; Algorithm design and analysis; Analytical models; Computational modeling; Estimation error; Gaussian noise; Hardware; Least squares approximation; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications

Conference_Location

Perth, WA

Print_ISBN

0-7803-3679-8

Type

conf

DOI

10.1109/TENCON.1996.608427

Filename

608427