A new method for active noise control systems with online acoustic-feedback-path modeling

Muhammad Tahir Akhtar; Masahide Abe; Masayuki Kawamata

A new method for active noise control systems with online acoustic-feedback-path modeling

Muhammad Tahir Akhtar, Masahide Abe, Masayuki Kawamata

Department of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

This paper proposes a new method for online modeling of the acoustic feedback path in active noise control (ANC) systems. The proposed method comprises three adaptive filters: 1) the FxLMS algorithm based noise control filter, 2) a variable step size (VSS) LMS algorithm based feedback path modeling (FBPM) filter, and 3) LMS algorithm based adaptive noise cancelation (ADNC) filter. The ADNC filter removes the disturbance from the desired response of FBPM filter. The disturbance signal in FBPM filter is thus decreasing in nature, (ideally) converging to zero. This gives basic idea for the VSS LMS algorithm for FBPM filter: a small step size is used initially and later its value is increased accordingly. The computer simulations show that the proposed method can reduce FBPM error at a faster convergence rate than the existing methods.

Original language	English
Title of host publication	IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
Publication status	Published - Dec 1 2006
Event	IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 - Islamabad, Pakistan Duration: Apr 22 2006 → Apr 23 2006

Publication series

Name	IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006

Conference

Conference	IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
Country	Pakistan
City	Islamabad
Period	4/22/06 → 4/23/06

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

Fingerprint Dive into the research topics of 'A new method for active noise control systems with online acoustic-feedback-path modeling'. Together they form a unique fingerprint.

Cite this

Akhtar, M. T., Abe, M., & Kawamata, M. (2006). A new method for active noise control systems with online acoustic-feedback-path modeling. In IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 [1703214] (IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006).

A new method for active noise control systems with online acoustic-feedback-path modeling. / Akhtar, Muhammad Tahir; Abe, Masahide; Kawamata, Masayuki.

IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006. 2006. 1703214 (IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Akhtar, MT, Abe, M & Kawamata, M 2006, A new method for active noise control systems with online acoustic-feedback-path modeling. in IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006., 1703214, IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006, IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006, Islamabad, Pakistan, 4/22/06.

@inproceedings{b853c40eeaed400aa186df4d12b7b677,

title = "A new method for active noise control systems with online acoustic-feedback-path modeling",

abstract = "This paper proposes a new method for online modeling of the acoustic feedback path in active noise control (ANC) systems. The proposed method comprises three adaptive filters: 1) the FxLMS algorithm based noise control filter, 2) a variable step size (VSS) LMS algorithm based feedback path modeling (FBPM) filter, and 3) LMS algorithm based adaptive noise cancelation (ADNC) filter. The ADNC filter removes the disturbance from the desired response of FBPM filter. The disturbance signal in FBPM filter is thus decreasing in nature, (ideally) converging to zero. This gives basic idea for the VSS LMS algorithm for FBPM filter: a small step size is used initially and later its value is increased accordingly. The computer simulations show that the proposed method can reduce FBPM error at a faster convergence rate than the existing methods.",

author = "Akhtar, {Muhammad Tahir} and Masahide Abe and Masayuki Kawamata",

year = "2006",

month = dec,

day = "1",

language = "English",

isbn = "1424404568",

series = "IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006",

booktitle = "IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006",

note = "IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 ; Conference date: 22-04-2006 Through 23-04-2006",

}

TY - GEN

T1 - A new method for active noise control systems with online acoustic-feedback-path modeling

AU - Akhtar, Muhammad Tahir

AU - Abe, Masahide

AU - Kawamata, Masayuki

PY - 2006/12/1

Y1 - 2006/12/1

N2 - This paper proposes a new method for online modeling of the acoustic feedback path in active noise control (ANC) systems. The proposed method comprises three adaptive filters: 1) the FxLMS algorithm based noise control filter, 2) a variable step size (VSS) LMS algorithm based feedback path modeling (FBPM) filter, and 3) LMS algorithm based adaptive noise cancelation (ADNC) filter. The ADNC filter removes the disturbance from the desired response of FBPM filter. The disturbance signal in FBPM filter is thus decreasing in nature, (ideally) converging to zero. This gives basic idea for the VSS LMS algorithm for FBPM filter: a small step size is used initially and later its value is increased accordingly. The computer simulations show that the proposed method can reduce FBPM error at a faster convergence rate than the existing methods.

AB - This paper proposes a new method for online modeling of the acoustic feedback path in active noise control (ANC) systems. The proposed method comprises three adaptive filters: 1) the FxLMS algorithm based noise control filter, 2) a variable step size (VSS) LMS algorithm based feedback path modeling (FBPM) filter, and 3) LMS algorithm based adaptive noise cancelation (ADNC) filter. The ADNC filter removes the disturbance from the desired response of FBPM filter. The disturbance signal in FBPM filter is thus decreasing in nature, (ideally) converging to zero. This gives basic idea for the VSS LMS algorithm for FBPM filter: a small step size is used initially and later its value is increased accordingly. The computer simulations show that the proposed method can reduce FBPM error at a faster convergence rate than the existing methods.

UR - http://www.scopus.com/inward/record.url?scp=40849147322&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=40849147322&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:40849147322

SN - 1424404568

SN - 9781424404568

T3 - IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006

BT - IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006

T2 - IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006

Y2 - 22 April 2006 through 23 April 2006

ER -