Open Access Paper
12 November 2024 Simplified active noise control system with decorrelation reference signals
Tian Zhang, Zhehua Duan, Fei Xu
Author Affiliations +
Proceedings Volume 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) ; 1339546 (2024) https://doi.org/10.1117/12.3048092
Event: International Conference on Optics, Electronics, and Communication Engineering, 2024, Wuhan, China
Abstract
Remote microphone technology (RMT) aims to address the issue of the impracticality of installing physical microphones in specific locations for reducing noise. To guarantee the noise reduction performance, the number of observation microphones in a typical RMT system is generally not less than the number of noise sources, which will lead to a high device cost and a heavy computational burden. Our goal is to design a simplified RMT system that cuts down on the quantity of reference and observation microphones required in settings with multiple noise sources. The first step involves examining the relationship of the sound field to find the best quantity of microphones. Next, the observation filter is designed using the best number of observation microphones. Furthermore, the blind separation method reconstructs reference signals while the observation filter estimates virtual signals for the RMT system. Experimental evidence confirms that the proposed RMT system can lower the number of microphones required while still achieving comparable noise reduction performance to traditional systems in scenarios with multiple noise sources.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Tian Zhang, Zhehua Duan, and Fei Xu "Simplified active noise control system with decorrelation reference signals", Proc. SPIE 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) , 1339546 (12 November 2024); https://doi.org/10.1117/12.3048092
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KEYWORDS
Denoising

Control systems

Tunable filters

Covariance matrices

Interference (communication)

Electronic filtering

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