Lightweight Frequency Domain Hybrid Active Noise Control System for Uncorrelated Disturbance

Hybrid Active Noise Control (HANC) is one of effective architectures to control undesired noise. HANC has two major problems: high computational complexity, and performance degradation when external noise uncorrelated with the primary noise enters the error microphone. In this paper, we propose a new HANC architecture to address the two problems. The proposed method utilizes frequency domain update algorithm to reduce the computational complexity. Additionally, the proposed method generates the error signal for FBANC by subtracting control signal by FFANC from the error signal. This architecture can extract the components uncorrelated with the output of FFANC part from the error signal. Computer simulations demonstrate that the proposed method can reduce calculation cost and can not deteriorate when external noise enter the error microphone in addition to being high performance than the conventional HANC.

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Publication Details

Published
2024-12-10
DOI
https://doi.org/10.1109/ispacs62486.2024.10868228
Citations
1
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
Field-Weighted Citation Impact
0.37
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article

Lightweight Frequency Domain Hybrid Active Noise Control System for Uncorrelated Disturbance

Tetsuya Shimamura, Yosuke Sugiura, Shosuke Namekawa
1 citations
Advanced Adaptive Filtering Techniques
0.37
article

Lightweight Frequency Domain Hybrid Active Noise Control System for Uncorrelated Disturbance

Tetsuya Shimamura, Yosuke Sugiura, Shosuke Namekawa
article en
1 citations

Abstract

Hybrid Active Noise Control (HANC) is one of effective architectures to control undesired noise. HANC has two major problems: high computational complexity, and performance degradation when external noise uncorrelated with the primary noise enters the error microphone. In this paper, we propose a new HANC architecture to address the two problems. The proposed method utilizes frequency domain update algorithm to reduce the computational complexity. Additionally, the proposed method generates the error signal for FBANC by subtracting control signal by FFANC from the error signal. This architecture can extract the components uncorrelated with the output of FFANC part from the error signal. Computer simulations demonstrate that the proposed method can reduce calculation cost and can not deteriorate when external noise enter the error microphone in addition to being high performance than the conventional HANC.

Saitama University (JP)
Affordable and clean energy
Openalex Percentile: Top 39%
Advanced Adaptive Filtering Techniques
0.37
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Lightweight Frequency Domain Hybrid Active Noise Control System for Uncorrelated Disturbance — Tetsuya Shimamura, Yosuke Sugiura, et al. · (2024) | TGRS Research Map | TGRS