Adaptive filtering with averaging-based algorithm for feedforward active noise control systems

Muhammad Tahir Akhtar, Masahide Abe, Masayuki Kawamata

Research output: Contribution to journalLetter

10 Citations (Scopus)

Abstract

This letter proposes an adaptive filtering with averaging-based algorithm for active noise control (ANC) systems. This algorithm uses a similar structure as that of the FxLMS-based ANC system. The proposed algorithm, called Filtered-x Adaptive Filtering with Averaging (FxAFA) algorithm, uses averages of both data and correction terms to find the updated values of the tap weights of the ANC controller. The computer simulations are conducted for single-channel feedforward ANC systems. It is shown that the proposed algorithm gives fast convergence as compared with the FxLMS algorithm and achieves better performance in the presence of the measurement noise. The comparison with the FxRLS algorithm shows that the proposed FxAFA algorithm is a better choice for low computational complexity and stable performance.

Original languageEnglish
Pages (from-to)557-560
Number of pages4
JournalIEEE Signal Processing Letters
Volume11
Issue number6
DOIs
Publication statusPublished - Jun 1 2004
Externally publishedYes

Fingerprint

Noise Control
Active noise control
Adaptive Filtering
Adaptive filtering
Active Control
Feedforward
Averaging
Control System
Control systems
Low Complexity
Fast Algorithm
Computational Complexity
Computer Simulation
Computational complexity
Controller
Controllers
Term
Computer simulation

Keywords

  • Active noise control
  • Adaptive filters
  • Averaging
  • FxLMS algorithm

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing

Cite this

Adaptive filtering with averaging-based algorithm for feedforward active noise control systems. / Akhtar, Muhammad Tahir; Abe, Masahide; Kawamata, Masayuki.

In: IEEE Signal Processing Letters, Vol. 11, No. 6, 01.06.2004, p. 557-560.

Research output: Contribution to journalLetter

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