Research on Active Noise Reduction Systems at Building Openings

Authors

  • Ruilin Mu College of Mechanical Engineering, Tianjin University of Science & Technology, Tianjin 300222, China; Tianjin Key Laboratory of Integrated Design and Online Monitoring for Light Industry & Food Machinery and Equipment, Tianjin 300222, China
  • Linlang Wu College of Mechanical Engineering, Tianjin University of Science & Technology, Tianjin 300222, China
  • Peijie Yang College of Mechanical Engineering, Tianjin University of Science & Technology, Tianjin 300222, China
  • Longjiu Zheng College of Mechanical Engineering, Tianjin University of Science & Technology, Tianjin 300222, China
  • Zhaolong Fang College of Mechanical Engineering, Tianjin University of Science & Technology, Tianjin 300222, China

DOI:

https://doi.org/10.53469/jrse.2024.06(12).04

Keywords:

Multi-channel FxLMS algorithm, Building openings, Active Noise Cancellation System Design

Abstract

This paper proposes an active noise reduction system design based on a digital signal processing (DSP) platform to address the impact of external noise on the indoor environment. The system is specially designed to be installed in the openings of a building and adopts the FxLMS (Filtered-x Least Mean Squares) algorithm to control the intrusion of noise effectively. By comprehensively considering the design of the hardware system and software systems' design, this paper verifies the feasibility of the proposed active noise reduction system and discusses its noise reduction performance in depth. Through experiments, this paper analyses the effect of secondary acoustic feedback on the system performance and the coherence between the reference signal and the error signal on the impact of the multi-channel active noise cancellation system. This paper provides a practical basis for further developing active noise reduction technology in practical applications.

References

Paul L. Process of silencing sound oscillations. US Paten: 2043416,1936-09-06.

Long S, Tan P, Yang L B, et al. Design of An Active Noise Reduction System Based on Labview. Scientific and Technological Innovation, 2023, (15): 83-86.

Ma X, Chen Z. Research on Frequency-Selective Output Constraint Algorithm for Active Vibration Control. Applied Sciences, 2021, 11(1): 201-214.

Chen K A. Active noise control. Beijing: National Defense Industry Press, 2014.

Yuan J, Li J, Meng X S, et al. Research on active noise control system of compressor noise. Electronic Measurement Technology, 2022, 45(4): 33-38.

Tang R, Lin B He H, et al. Design and Research of Active Noise Control Structure Based on NALMS Algorithm. Journal of Vibration Engineering & Technologies, 2023, 11(5): 2181-2192.

Oldham D J, De Salis M H, Sharples S. Reducing the ingress of urban noise through natural ventilation openings. Indoor Air, 2004, 14(8): 118-126.

Buttarazzi M G, Borchi F, Mambelli A, et al. An Active Noise Control System for Reducing Siren Noise Inside the Ambulance. International Conference of the Italian Association of Design Methods and Tools for Industrial Engineering. Cham: Springer Nature Switzerland, 2023, 273-282.

Song Y, Gong Y, Kuo S M. A robust hybrid feedback active noise cancellation headset. IEEE transactions on speech and audio processing, 2005, 13(4): 607-617.

Kuo S M, Mitra S, Gan W. Active noise control system for headphone applications. IEEE transactions on control systems technology, 2006, 14(2): 331-335.

Tan J K A, Du L, Lau S K. Optimization of single-channel active noise control performance in a plenum window using the surface impedance approach. The Journal of the Acoustical Society of America, 2024, 155(2): 1570-1582.

Carme C, Schevin O, Romerowski C, et al. Active opening windows. Proceedings of the ICSV, 2016.

Wongeun O. Open-Window Active Noise Control for Environmental Noise. International Conference on Research & Innovation in Environment, Civil and Architecture Engineering, 2017.

Burgess J C. Active adaptive sound control in a duct: A computer simulation. The Journal of the Acoustical Society of America, 1981, 70(3): 715-726.

Widrow B, Glover J R, McCool J M, et al. Adaptive noise cancelling: Principles and applications. Proceedings of the IEEE, 1975, 63(12): 1692-1716.

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Published

2024-12-26

How to Cite

Mu, R., Wu, L., Yang, P., Zheng, L., & Fang, Z. (2024). Research on Active Noise Reduction Systems at Building Openings. Journal of Research in Science and Engineering, 6(12), 17–22. https://doi.org/10.53469/jrse.2024.06(12).04