A modified LMS-Newton algorithm for multichannel active noise control

This research project is concerned with enhancing the efficacy of active noise control (ANC) systems, with a particular emphasis on the optimisation of the LMS-Newton algorithm. We introduce a novel method based on the unbiased estimation of the autocorrelation matrix and the dynamic adjustment of step parameters, which collectively enable the innovative development of a new form of the LMS-Newton algorithm. The performance of the algorithm was evaluated through simulation tests conducted under different noise conditions. The results demonstrate that, in comparison to the traditional LMS-Newton algorithm, the new algorithm has exhibited a notable enhancement in convergence speed and noise reduction capability. This research outcome paves the way for a new phase of advancement in ANC technology and has the potential to significantly improve the noise control level in related application fields.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/icmsp64464.2024.10866114
Citations
1
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
Field-Weighted Citation Impact
0.37
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article

A modified LMS-Newton algorithm for multichannel active noise control

Lei Wang, Wei Liu, Fenghua Tian, Ruilei Ma
1 citations
Advanced Adaptive Filtering Techniques
0.37
article

A modified LMS-Newton algorithm for multichannel active noise control

Lei Wang, Wei Liu, Fenghua Tian, Ruilei Ma
article en
1 citations

Abstract

This research project is concerned with enhancing the efficacy of active noise control (ANC) systems, with a particular emphasis on the optimisation of the LMS-Newton algorithm. We introduce a novel method based on the unbiased estimation of the autocorrelation matrix and the dynamic adjustment of step parameters, which collectively enable the innovative development of a new form of the LMS-Newton algorithm. The performance of the algorithm was evaluated through simulation tests conducted under different noise conditions. The results demonstrate that, in comparison to the traditional LMS-Newton algorithm, the new algorithm has exhibited a notable enhancement in convergence speed and noise reduction capability. This research outcome paves the way for a new phase of advancement in ANC technology and has the potential to significantly improve the noise control level in related application fields.

China State Shipbuilding (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 39%
Advanced Adaptive Filtering Techniques
0.37
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