A method for online secondary path modeling in active noise control systems

Muhammad Tahir Akhtar, Masahide Abe, Masayuki Kawamata

Research output: Contribution to journalConference article

27 Citations (Scopus)

Abstract

This paper proposes a new method for online secondary path modeling in active noise control (ANC) systems. The proposed method is a modified version of the basic method, proposed by Eriksson et. al. The objective is to realize improved performance at a reasonable computational cost. In the proposed method, the control filter is adapted by using same error signal as used in the adaptation of the modeling filter. Furthermore, a variable step size (VSS) LMS algorithm is used to adapt the modeling filter. The basic idea of VSS stems from the fact that the disturbance signal in the desired response of the modeling filter is decreasing in nature, (ideally) converging to zero. Hence a small step size is used initially and later its value is increased accordingly. The computational complexity of the proposed method is comparable to the Eriksson's method, and it gives best performance among the existing methods. The computer simulations are presented to show the effectiveness of the proposed method.

Original languageEnglish
Article number1464575
Pages (from-to)264-267
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
DOIs
Publication statusPublished - Dec 1 2005
Externally publishedYes
EventIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan
Duration: May 23 2005May 26 2005

Fingerprint

Active noise control
Computational complexity
Control systems
Computer simulation
Costs

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

A method for online secondary path modeling in active noise control systems. / Akhtar, Muhammad Tahir; Abe, Masahide; Kawamata, Masayuki.

In: Proceedings - IEEE International Symposium on Circuits and Systems, 01.12.2005, p. 264-267.

Research output: Contribution to journalConference article

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