Online secondary path modeling in multichannel active noise control systems using variable step size

Muhammad Tahir Akhtar, Masahide Abe, Masayuki Kawamata, Akinori Nishihara

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

In single-channel feedforward active noise control (ANC) systems, additive random noise based methods are often applied to achieve secondary path modeling (SPM) during online operation. This paper investigates the issue of online SPM in multichannel ANC systems. It is shown that the application of existing methods for online SPM in multichannel ANC systems greatly increases the computational complexity. Here we extend our previous work on single-channel variable step-size online SPM to multichannel ANC systems. It is shown that the proposed method has reduced computational complexity as compared with other methods. Computer simulations are carried out that demonstrate the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)2019-2029
Number of pages11
JournalSignal Processing
Volume88
Issue number8
DOIs
Publication statusPublished - Aug 1 2008
Externally publishedYes

Fingerprint

Active noise control
Control systems
Computational complexity
Acoustic noise
Computer simulation

Keywords

  • Adaptive signal processing
  • Multichannel active noise control
  • Secondary path modeling

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Online secondary path modeling in multichannel active noise control systems using variable step size. / Akhtar, Muhammad Tahir; Abe, Masahide; Kawamata, Masayuki; Nishihara, Akinori.

In: Signal Processing, Vol. 88, No. 8, 01.08.2008, p. 2019-2029.

Research output: Contribution to journalArticle

Akhtar, Muhammad Tahir ; Abe, Masahide ; Kawamata, Masayuki ; Nishihara, Akinori. / Online secondary path modeling in multichannel active noise control systems using variable step size. In: Signal Processing. 2008 ; Vol. 88, No. 8. pp. 2019-2029.
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