On use of averaging in FxLMS algorithm for single-channel feedforward ANC systems

Akhtar M. Tahir, Masahide Abe, Masayuki Kawamata

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

In this paper an active noise control (ANC) algorithm is proposed. This algorithm is based on adaptive filtering with averaging (AFA) and uses a similar structure as that of the FxLMS ANC system. The proposed algorithm, which we call 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, for both broadband and narrowband noise signals. 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)IV389-IV392
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume4
Publication statusPublished - 2003 Jul 14
EventProceedings of the 2003 IEEE International Symposium on Circuits and Systems - Bangkok, Thailand
Duration: 2003 May 252003 May 28

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'On use of averaging in FxLMS algorithm for single-channel feedforward ANC systems'. Together they form a unique fingerprint.

Cite this