Nonlinear acoustic echo cancellation with 2nd order adaptive Volterra filters

Authors:
A. Stenger;L. Trautmann;R. Rabenstein
Affiliations:
Telecommun. Lab., Erlangen-Nurnberg Univ., Germany;-;-
Venue:
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Year:
1999

Citing 0
Cited 9

HOS-based variable step adaptive equalizer

ISCGAV'04 Proceedings of the 4th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
An efficient acoustic echo cancellation design for systems with long room impulses and nonlinear loudspeakers

Signal Processing
Robust nonlinear echo canceller with adaptive volterra filter applying VAD and echo-path delay estimation

CSNA '07 Proceedings of the IASTED International Conference on Communication Systems, Networks, and Applications
Adaptive nonlinear system identification in the short-time fourier transform domain

IEEE Transactions on Signal Processing
Modeling and identification of nonlinear systems in the short-time fourier transform domain

IEEE Transactions on Signal Processing
A sparse-interpolated scheme for implementing adaptive volterra filters

IEEE Transactions on Signal Processing
A new strategy of adaptive nonlinear echo cancelling volterra-wiener filter structure selection

KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Undermodeling-error quantification for quadratically nonlinear system identification in the short-time Fourier transform domain

IEEE Transactions on Signal Processing
Estimating second-order Volterra system parameters from noisy measurements based on an LMS variant or an errors-in-variables method

Signal Processing

Quantified Score

Hi-index	0.01

Visualization

Abstract

Acoustic echo cancellers in today's speakerphones or video conferencing systems rely on the assumption of a linear echo path. Low-cost audio equipment or constraints of portable communication systems cause nonlinear distortions, which limit the echo return loss enhancement achievable by linear adaptation schemes. These distortions are a super-position of different effects, which can be modelled either as memoryless nonlinearities or as nonlinear systems with memory. Proper adaptation schemes for both cases of nonlinearities are discussed. An echo canceller for nonlinear systems with memory based on an adaptive second order Volterra filter is presented. Its performance is demonstrated by measurements with small loudspeakers. The results show an improvement in the echo return loss enhancement of 7 dB over a conventional linear adaptive filter. The additional computational requirement for the presented Volterra filter is comparable to that of existing acoustic echo cancellers.