A Diffusion FXLMS Algorithm for Multi-Channel Active Noise Control and Variable Spatial Smoothing

Y.J. Chu, S.C. Chan, Cheuk Ming Mak, M. Wu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper studies the diffusion (Diff) control for multichannel ANC systems, where a group of controllers and error microphones are physically distributed at different locations within a large area. In this case, the conventional
consensus agreement for controllers cannot be reached. To solve this problem, a new Diff filtered-x least mean squares (Diff-FxLMS) algorithm that incorporates the knowledge of spatial smoothness is proposed. Compared to conventional
Diff control criteria that have a fixed spatial smoothing strategy, the proposed Diff-FxLMS adjusts a so called spatial regularization (SR) coefficient adaptively such that the neighboring controllers keep their decision variables
close to one another to minimize the global cost function while giving preference to possibly distinct local signals. A detailed performance analysis is carried out and verified by simulation. Based on the analysis, a variable SR formula is derived. The performance of the proposed algorithm is also
compared with conventional methods.
Original languageEnglish
Title of host publication2021 IEEE International Conference on Acoustics, Speech and Signal Processing
PublisherIEEE
Pages4695-4699
ISBN (Electronic)9781728176055
DOIs
Publication statusPublished - May 2021
Event2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 - Toronto, Ontario, Canada
Duration: 6 Jun 202111 Jun 2021

Competition

Competition2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Country/TerritoryCanada
Period6/06/2111/06/21

Cite this