Paper Info
Title
An Improved Variable-Step FXLMS for Active Noise Control in High-Noise Environment
Abstract
This work proposes an improved variable-step FXLMS (IVS-FXLMS) adaptive algorithm for active noise control, which considers the effect of secondary path. A lower bound for the step size is obtained to establish a minimum adaptation-level and a range of step size values for breaking the trade-off between misadjustment and convergence time. Computer simulations are performed for a comparative assessment of the performances of the various adaptive algorithms based on the mean-square-error criteria, with respect to the proposed algorithm, in a high-noise environment. Comparison is done in terms of noise attenuation, reproduction of the original signal and mean square error. It is observed from the obtained results that the FXLMS algorithm, due to its ability to take secondary path into consideration, performs better than the LMS and NLMS adaptive algorithms. However, the proposed algorithm exhibits an improved performance over the FXLMS algorithm by effectively attenuating noise at the output and reproducing the original acoustic signal, which was corrupted with noise. Moreover, the proposed algorithm also incurs the least mean square error of all the considered algorithms.
Year
DOI
Venue
2019
10.1109/TENCON.2019.8929399
TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)
Keywords
Field
DocType
Adaptive Filters,Variable Step Size,Active Noise Control,Least Mean Square,FXLMS
Convergence (routing),Least mean square error,Computer science,Upper and lower bounds,Algorithm,Mean squared error,Electronic engineering,Noise attenuation,Adaptive algorithm,Active noise control
Conference
ISSN
ISBN
Citations 
2159-3442
978-1-7281-1896-3
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
Asutosh Kar1156.33
Ankita Anand200.34
Banshidhar Majhi300.34