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Simplified fast transversal filter algorithms for multichannel active noise control

  • Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In recent years, more attention has been paid to the performance of algorithms in active noise control. Compared with the filtered-x LMS algorithm based on stochastic gradient descent, the filtered-x RLS algorithm has a faster convergence speed and better tracking performance at the cost of high computational complexity. In order to reduce the computation, the fast transversal filter algorithm can be used in ANC systems. In this paper, two simplified multichannel filtered-x FTF algorithms are presented, and the convergence speed and noise reduction performance of different multichannel algorithms are simulated and compared. The simulation results demonstrate the efficiency of the proposed algorithms for both stationary white noise and time-varying actual measured noise.

Original languageEnglish
Title of host publicationProceedings of INTER-NOISE 2021 - 2021 International Congress and Exposition of Noise Control Engineering
EditorsTyler Dare, Stuart Bolton, Patricia Davies, Yutong Xue, Gordon Ebbitt
PublisherThe Institute of Noise Control Engineering of the USA, Inc.
ISBN (Electronic)9781732598652
DOIs
StatePublished - 2021
Event50th International Congress and Exposition of Noise Control Engineering, INTER-NOISE 2021 - Washington, United States
Duration: 1 Aug 20215 Aug 2021

Publication series

NameProceedings of INTER-NOISE 2021 - 2021 International Congress and Exposition of Noise Control Engineering

Conference

Conference50th International Congress and Exposition of Noise Control Engineering, INTER-NOISE 2021
Country/TerritoryUnited States
CityWashington
Period1/08/215/08/21

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