Mean square error in an IIR adaptive echo canceller

Author

Kenney, John B. ; Peek, Mark D.

Author_Institution

Tellabs Res. Center, Mishawaka, IN, USA

fYear

1990

fDate

3-6 Apr 1990

Firstpage

1465

Abstract

An examination is made of the mean-square-error performance of an IIR (infinite impulse response) adaptive filter. The principal goal is to determine if IIR adaptive filters have an advantage over FIR (finite impulse response) adaptive filters in terms of either greater performance or less restrictive processing constraints. A stochastic analysis of the IIR algorithm, which results in a steady-state mean square error expression, is presented and that result is used as a tool to investigate performance in the echo canceller application. Simulations are used to verify the analytical result. The echo canceller study shows that the IIR algorithm offers approximately a 2:1 reduction in processing requirements compared to the FIR approach, without loss of performance

Keywords

adaptive filters; digital filters; echo suppression; filtering and prediction theory; IIR adaptive echo canceller; adaptive filters; infinite impulse response filter; mean-square-error performance; steady-state mean square error expression; stochastic analysis; Adaptive filters; Algorithm design and analysis; Analytical models; Echo cancellers; Finite impulse response filter; IIR filters; Mean square error methods; Performance analysis; Steady-state; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.115675

Filename

115675