Paper Info
Title
MITIGATING UNCORRELATED PERIODIC DISTURBANCE IN NARROWBAND ACTIVE NOISE CONTROL SYSTEMS
Abstract
This paper concerns the problem of uncorrelated periodic disturbance appearing at the error microphone in single- channel 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. Fur- thermore, it significantly degrades the steady-state perfor- mance 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 dis- turbance, and 3) the LMS algorithm based supporting adap- tive filter to generate appropriate signals for the two ANC filters. Computer simulations are carried out which demon- strate that the proposed method can effectively mitigate the correlated and uncorrelated primary disturbances, and gives significantly improved noise reduction performance. This im- proved performance is achieved at an increased computa- tional complexity.
Year
Venue
Field
2009
EUSIPCO
Noise reduction,Least mean squares filter,Noise floor,Control theory,Computer science,Salt-and-pepper noise,Adaptive filter,Active noise control,Gaussian noise,Feed forward
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
4
2
Name
Order
Citations
PageRank
Muhammad Tahir AKHTAR112719.33
Wataru MITSUHASHI2656.72