Convergence behavior of two adaptive filters in tandem

Author

Ho, K.C. ; Blunt, Shannon D.

Author_Institution

Dept. of Electr. Eng., Missouri Univ., Columbia, MO, USA

Volume

2

fYear

1999

fDate

1999

Firstpage

630

Abstract

The current communication networks often encounter echo-cancellers in tandem. The major component of an echo-canceller is an adaptive filter, which learns the echo-path impulse response dynamically to generate an echo estimate for cancellation. Tandeming affects the learning behavior of adaptive filters in the cancellers and may create a stability problem. At present there is little work in the literature to investigate the behavior of adaptive filters in tandem. This paper presents a theoretical study of the learning characteristics when two adaptive filters are connected together. The adaptive algorithm is assumed to be LMS. The theoretical results are corroborated with simulations

Keywords

adaptive filters; convergence of numerical methods; echo suppression; filtering theory; least mean squares methods; LMS method; MSE; adaptive filters; convergence behavior; echo canceller; echo estimate; echo-path impulse response; learning behavior; mean square error; stability problem; tandem connection; Adaptive algorithm; Adaptive filters; Circuits; Communication networks; Convergence; Delay; Echo cancellers; Least squares approximation; Telephony; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1999. 42nd Midwest Symposium on

Conference_Location

Las Cruces, NM

Print_ISBN

0-7803-5491-5

Type

conf

DOI

10.1109/MWSCAS.1999.867717

Filename

867717