Review of Advances in Active Impulsive Noise Control with Focus on Adaptive Algorithms

Mitigating low-frequency noise in various industrial applications often involves the use of the filter-x least mean squares (FxLMS) algorithm, which relies on the mean square error criterion. This algorithm has demonstrated effectiveness in reducing noise induced by Gaussian noise within noise contr...

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Bibliographic Details
Published inApplied sciences Vol. 14; no. 3; p. 1218
Main Authors Liu, Yan, Lei, Zhichun
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.01.2024
Subjects
active impulsive noise control
adaptive algorithm
Algorithms
Control algorithms
Control systems
Noise control
noise reduction
Normal distribution
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Summary:Mitigating low-frequency noise in various industrial applications often involves the use of the filter-x least mean squares (FxLMS) algorithm, which relies on the mean square error criterion. This algorithm has demonstrated effectiveness in reducing noise induced by Gaussian noise within noise control systems. However, the performance of this algorithm experiences significant degradation and does not converge properly in the presence of impulsive noise. Consequently, to uphold the stability of the ANC system, several robust adaptive algorithms tailored to handle shock noise interference have been introduced. This paper systematically organizes and classifies robust adaptive algorithms designed for impulse noise based on algorithmic criteria, offering valuable insights for the research and application of pertinent active impact noise control methods.
ISSN:2076-3417
2076-3417
DOI:10.3390/app14031218