A New Variable Step Size Algorithm Based Hybrid Active Noise Control System for Gaussian Noise with Impulsive Interference

Wenzhao Zhu, Lei Luo*, Jinwei Sun, Mads Graesboll Christensen

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)

Abstract

Noise containing both strong narrowband and broadband components generated by rotating machine occur in many situations where active noise control is desirable. Such noise may be reduced by hybrid active noise control (HANC) methods, as shown in previous work. However, the performance of conventional HANC methods decrease when impulsive interference occurs. To improve the tracking and robustness of such HANC systems, a new hybrid noise control system with anti-pulse variable step size algorithm (APV-HANC) is proposed. By using new variable step size method and HANC structure, the APV-HANC method has better tracking and robustness performance of the whole system when impulsive noise occurs. Theoretical analysis and simulations confirms the superior performance of the proposed method.

Original languageEnglish
Title of host publication2020 IEEE 6th International Conference on Computer and Communications, ICCC 2020
Number of pages5
PublisherIEEE
Publication date11 Dec 2020
Pages1072-1076
Article number9344981
ISBN (Print)978-1-7281-8634-4, 978-1-7281-8636-8
ISBN (Electronic)978-1-7281-8635-1
DOIs
Publication statusPublished - 11 Dec 2020
Event6th IEEE International Conference on Computer and Communications, ICCC 2020 - Chengdu, China
Duration: 11 Dec 202014 Dec 2020

Conference

Conference6th IEEE International Conference on Computer and Communications, ICCC 2020
Country/TerritoryChina
CityChengdu
Period11/12/202014/12/2020

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Gaussian noise
  • hybrid active noise control
  • impulsive interference
  • variable step size

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