Statistical analysis of narrowband active noise control using a simplified variable step-size FXLMS algorithm

highlights•A simplified variable step-size FXLMS based narrowband ANC system is analyzed.•Difference equations describing the system dynamic behavior are derived.•Closed-form steady-state expressions are provided in mean and mean square senses.•Extensive simulations are conducted to confirm the anal...

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Bibliographic Details
Published inSignal Processing Vol. 183; p. 108012
Main Authors Ma, Yaping, Xiao, Yegui, Ma, Liying, Khorasani, Khashayar
Format Journal Article
LanguageEnglish
Japanese
Published Elsevier B.V 01.06.2021
Elsevier BV
Subjects
Online AccessGet full text
ISSN0165-1684
1872-7557
DOI10.1016/j.sigpro.2021.108012

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Summary:highlights•A simplified variable step-size FXLMS based narrowband ANC system is analyzed.•Difference equations describing the system dynamic behavior are derived.•Closed-form steady-state expressions are provided in mean and mean square senses.•Extensive simulations are conducted to confirm the analytical results.•The analytical findings provide guideline for selecting the user parameters. In this paper, an in-depth statistical analysis is conducted for a typical narrowband active noise control (ANC, NANC) system that is based on a simplified variable step-size (VSS) filtered-x least mean square (SVSS-FXLMS) scheme. Difference equations are derived first that describe the NANC system convergent behavior in both mean and mean square senses. Closed-form steady-state expressions are then derived for the mean residual noise power, the mean and mean squared VSSs as well as the mean squared errors (MSE) of the control filter weights. Extensive simulation results are conducted and provided to demonstrate, illustrate, and confirm validity of the developed analytical results. The obtained insights do significantly enhance our understanding of the dynamic and steady-state properties of the NANC system that is based on our proposed SVSS-FXLMS strategy.
ISSN:0165-1684
1872-7557
DOI:10.1016/j.sigpro.2021.108012