Modified LMS and NLMS Algorithms with a New Variable Step Size

Author

Shengkui, Zhao ; Zhihong, Man ; Suiyang, Khoo

Author_Institution

Sch. of Comput. Eng., Nanyang Technol. Univ.

fYear

2006

fDate

5-8 Dec. 2006

Firstpage

1

Lastpage

6

Abstract

In this paper, the modified LMS and NLMS algorithms with variable step-size are presented. It is shown that the variable step size is computed using a ratio of the sums of weighted energy of the output error with two exponential factors alpha and beta, thus the fast error convergence of the modified LMS and NLMS algorithms can then be achieved. Also, by properly choosing the values of alpha and beta, the misadjustment can be further improved. A few simulation results are presented in support of the good performance of the proposed algorithms by comparing with other LMS-type algorithms

Keywords

convergence of numerical methods; least mean squares methods; fast error convergence; normalized least mean square algorithm; variable step size; Adaptive algorithm; Adaptive equalizers; Adaptive filters; Computer errors; Convergence; Least squares approximation; Noise cancellation; Power engineering and energy; Steady-state; System identification; LMS algorithm; NLMS algorithm; variable stepsize;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on

Conference_Location

Singapore

Print_ISBN

1-4244-0341-3

Electronic_ISBN

1-4214-042-1

Type

conf

DOI

10.1109/ICARCV.2006.345344

Filename

4150185