A complementary pair LMS algorithm for adaptive filtering

Author

Song, Woo-Jin ; Park, Min-Soo

Author_Institution

Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol., South Korea

Volume

3

fYear

1997

fDate

21-24 Apr 1997

Firstpage

2261

Abstract

This paper presents a new algorithm that can solve the problem of selecting appropriate update step size in the LMS algorithm. The proposed algorithm, called a complementary pair LMS (CP-LMS) algorithm, consists of two adaptive filters with different update step sizes operating in parallel, one filter re-initializing the other with the better coefficient estimates whenever possible. This new algorithm provides the faster convergence speed and the smaller steady-state error than those of a single filter with a fixed or variable step size

Keywords

FIR filters; adaptive filters; adaptive signal processing; convergence of numerical methods; error analysis; filtering theory; least mean squares methods; FIR filter; adaptive filtering; adaptive filters; coefficient estimates; complementary pair LMS algorithm; convergence speed; fixed step size; steady-state error; update step size; variable step size; Adaptive filters; Additive noise; Equations; Estimation error; Filtering algorithms; Finite impulse response filter; Least squares approximation; Signal to noise ratio; Steady-state; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.599502

Filename

599502