Research on Optimizing the Layout of Secondary Speakers for Indoor Active Noise Cancellation

With the rapid development of industrialization and urbanization, noise pollution has become a significant factor affecting people’s quality of life and health. Active noise control (ANC) technology has garnered widespread attention due to its superior performance in controlling low-frequency noise. This paper proposes an active noise cancellation system based on the optimization of secondary sound source layout, which enhances the system’s noise reduction effect and stability by optimizing the position of secondary sound sources and algorithm parameters. Experimental results indicate that the system demonstrates good noise reduction performance in various complex sound field environments, holding important practical application value.

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Published
2024-10-25
DOI
https://doi.org/10.1109/icemce64157.2024.10862582
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
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article

Research on Optimizing the Layout of Secondary Speakers for Indoor Active Noise Cancellation

Minghu Ding, Renwen Chen, Zihao Jiang, Shanan Li
Advanced Adaptive Filtering Techniques
article

Research on Optimizing the Layout of Secondary Speakers for Indoor Active Noise Cancellation

Minghu Ding, Renwen Chen, Zihao Jiang, Shanan Li
article en

Abstract

With the rapid development of industrialization and urbanization, noise pollution has become a significant factor affecting people’s quality of life and health. Active noise control (ANC) technology has garnered widespread attention due to its superior performance in controlling low-frequency noise. This paper proposes an active noise cancellation system based on the optimization of secondary sound source layout, which enhances the system’s noise reduction effect and stability by optimizing the position of secondary sound sources and algorithm parameters. Experimental results indicate that the system demonstrates good noise reduction performance in various complex sound field environments, holding important practical application value.

Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 72%
Advanced Adaptive Filtering Techniques
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