On active noise control systems with online acoustic feedback path modeling

Muhammad Tahir Akhtar, Masahide Abe, Masayuki Kawamata

Research output: Contribution to journalArticle

47 Citations (Scopus)

Abstract

The presence of strong acoustic feedback degrades the convergence speed of the active noise control (ANC) filter, and in the worst case the ANC system may become unstable. A fixed feedback neutralization filter, obtained offline, can be used to neutralize the acoustic feedback. The feedback path, however, may be time varying, and we may need continual adjustments during online operation of the ANC system. This paper proposes a new method for online modeling of the acoustic feedback path in ANC systems. The proposed method uses three adaptive filters; a noise control filter, a feedback path modeling (FBPM) filter, and an adaptive noise cancelation (ADNC) filter. The objective of ADNC filter is to remove the disturbance from the desired response of FBPM filter. In comparison with the existing method, which works only for predictable noise sources, the proposed method can work, as well, with the broadband noise sources. The computer simulations are carried out for narrowband (predictable) (case I) and broadband (random) noise sources (case II). It is demonstrated that the proposed method performs better than the existing method in both cases.

Original languageEnglish
Article number4067019
Pages (from-to)593-600
Number of pages8
JournalIEEE Transactions on Audio, Speech and Language Processing
Volume15
Issue number2
DOIs
Publication statusPublished - Feb 1 2007
Externally publishedYes

Keywords

  • Acoustic feedback
  • Active noise control (ANC)
  • FxLMS algorithm
  • Online feedback path modeling

ASJC Scopus subject areas

  • Acoustics and Ultrasonics
  • Electrical and Electronic Engineering

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