NDLI: Bias-compensated FX-LMS algorithm

Content Provider	IET Digital Library
Author	Silva, L. P. R. da Souza, J. V. G. de Colares, J. Lima, A. A. de Haddad, D. B.
Abstract	Active noise control is an expanding field that requires a suitable synthesis of secondary perturbations. Unfortunately, most schemes for noise cancelling do not take into account that the input signal that drives the adaptive filter can be noisy. In this Letter, it is theoretically shown that noise perturbations in the excitation data degrade the performance of the standard filtered-x least mean squares (FX-LMS) algorithm. Furthermore, a method that compensates such an issue is devised, and a first-order stochastic analysis of the resulting algorithm is performed. The results reveal that the proposed scheme outperforms the standard FX-LMS algorithm, even when the variance of the additive noise in the input is not accurately estimated.
Starting Page	1340
Ending Page	1343
Page Count	4
ISSN	00135194
Volume Number	56
e-ISSN	1350911X
Issue Number	Issue 24, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/56/24
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2020.2010
Journal	Electronics Letters
Publisher Date	2020-11-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acoustic Signal Processing Active Noise Control Adaptive Filter Additive Noise Bias-compensated FX-LMS Algorithm Digital Signal Processing Excitation Data Expanding Field Filtering Method in Signal Processing First-order Stochastic Analysis Input Signal Interpolation And Function Approximation Least Mean Squares Method Noise Cancelling Noise Perturbations Numerical Analysis Numerical Approximation And Analysis Numerical Stability Secondary Perturbations Standard Filtered-x Least Mean Squares Standard FX-LMS Algorithm Stochastic Linearised SCUC
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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