A New Method For Active Noise Control Systems With Online Acoustic-Feedback-Path Modeling

Author

Akhtar, Muhammad Tahir ; Abe, Masahide ; Kawamata, Masayuki

Author_Institution

Dept. of Electr. Eng., Pakistan Inst. of Eng. & Appl. Sci., Islamabad

fYear

0

fDate

0-0 0

Firstpage

1

Lastpage

6

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 cancellation (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

Keywords

active noise control; adaptive filters; feedback; least mean squares methods; FxLMS algorithm; active noise control systems; adaptive noise cancellation filter; computer simulations; noise control filter; online acoustic-feedback-path modeling; variable step size LMS algorithm; Acoustic noise; Active noise reduction; Adaptive filters; Control system synthesis; Feedback; Least squares approximation; Noise cancellation; Programmable control; Size control; Variable structure systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering of Intelligent Systems, 2006 IEEE International Conference on

Conference_Location

Islamabad

Print_ISBN

1-4244-0456-8

Type

conf

DOI

10.1109/ICEIS.2006.1703214

Filename

1703214