Active noise control using filtered-xLMS and feedback ANC filter algorithms

Tushar Kanti Roy, Monir Morshed

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

15 Citations (Scopus)

Abstract

Active noise control (ANC) is one of the most popular applications for adaptive filters. In the emerging application area of adaptive signal processing is active noise control. The basic idea behind the active control of acoustic noise is to inject a secondary sound (anti-noise) into an environment so as to cancel the primary sound using destructive interference. So, ANC is a method of reducing the unwanted noise by actively generating an anti-sound, cancelling out the noise. To achieve this, in this paper, we describe a well-known filtered-X Least Mean Square (filtered-x LMS) and feedback active noise control algorithms which provide a new structure for improving noise reduction. Finally, simulation results have shown the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Advances in Electrical Engineering, 2013 (ICAEE 2013)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages7-12
Number of pages6
ISBN (Electronic)9781479924653, 9781479924639, 9781479924646
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 2nd International Conference on Advances in Electrical Engineering, ICAEE 2013 - Dhaka, Bangladesh
Duration: 19 Dec 201321 Dec 2013

Conference

Conference2013 2nd International Conference on Advances in Electrical Engineering, ICAEE 2013
Country/TerritoryBangladesh
CityDhaka
Period19/12/1321/12/13

Keywords

  • Anti-noise
  • adaptive algorithm
  • acoustic noise control (ANC)
  • Filtered-xLMS adaptive filter
  • Feedback ANC

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