Paper Info
Title
Robust adaptive algorithm for active noise control of impulsive noise
Abstract
The paper concerns active control of impulsive noise. The most famous filtered-x least mean square (FxLMS) algorithm for active noise control (ANC) systems is based on the minimization of variance of error signal. The impulsive noise can be modeled using non-Gaussian stable process for which second order moments do not exist. The FxLMS algorithm, therefore, becomes unstable for the impulsive noise. Among the existing algorithms for ANC of impulsive noise, one is based on the minimizing least mean p-power (LMP) of the error signal, resulting in FxLMP algorithm. The other is based on modifying; on the basis of statistical properties; the reference signal in the update equation of the FxLMS algorithm. In this paper, the proposed algorithm is a modification and combination of these two approaches. Extensive simulations are carried out, which demonstrate the effectiveness of the proposed algorithm. It achieves the best performance among the existing algorithms, and at the same computational complexity as that of FxLMP algorithm.
Year
DOI
Venue
2009
10.1109/ICASSP.2009.4959570
ICASSP
Keywords
Field
DocType
fxlms algorithm,mean p-power,existing algorithm,error signal,active noise control,mean square,impulsive noise,reference signal,proposed algorithm,fxlmp algorithm,robust adaptive algorithm,least mean square,second order,robust control,impulse noise,computational complexity,noise,signal processing,stable process,error correction,finite impulse response filter,control systems,robustness,data mining,probability density function,computational modeling
Least mean squares filter,Signal processing,Mathematical optimization,Computer science,Control theory,Robustness (computer science),Impulse noise,Adaptive algorithm,Active noise control,Finite impulse response,Computational complexity theory
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4244-2354-5
978-1-4244-2354-5
2
PageRank 
References 
Authors
0.44
2
2
Name
Order
Citations
PageRank
Muhammad Tahir AKHTAR112719.33
Wataru MITSUHASHI2656.72