Mitigating uncorrelated periodic disturbance in narrowband active noise control systems

Muhammad Tahir Akhtar, Wataru Mitsuhashi

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper concerns the problem of uncorrelated periodic disturbance appearing at the error microphone in singlechannel feedforward active noise control (ANC) systems. This disturbance, being uncorrelated with the primary noise, cannot be controlled by standard filtered-x least mean square (FxLMS) algorithm, and increases the residual noise. Furthermore, it significantly degrades the steady-state performance of ANC systems. Here we propose a new method which can simultaneously control both the correlated and uncorrelated noise signals. The proposed method comprises three adaptive filters; 1) the FxLMS algorithm-based ANC filter to cancel the primary noise, 2) a separate FxLMS algorithm-based ANC filter to cancel the uncorrelated disturbance, and 3) the LMS algorithm based supporting adaptive filter to generate appropriate signals for the two ANC filters. Computer simulations are carried out which demonstrate that the proposed method can effectively mitigate the correlated and uncorrelated primary disturbances, and gives significantly improved noise reduction performance. This improved performance is achieved at an increased computational complexity.

Original languageEnglish
Pages (from-to)155-159
Number of pages5
JournalEuropean Signal Processing Conference
Publication statusPublished - Dec 1 2009
Event17th European Signal Processing Conference, EUSIPCO 2009 - Glasgow, United Kingdom
Duration: Aug 24 2009Aug 28 2009

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Mitigating uncorrelated periodic disturbance in narrowband active noise control systems'. Together they form a unique fingerprint.

Cite this