Chengtao Du
ABSTRACT
Active noise control is an effective method for active noise reduction for low frequency noise. In this paper, the forward control method is adopted for noise reduction special in semi-enclosed spaces. The primary(original) noise from noise sources is detected first, and then, the signal with inverted phase and the same amplitude with respect to it is generated and added to it in the noise reduction area, consequently, the noise reduction is completed. The structure, algorithm and implementation steps of the active noise reduction system are introduced. The noise reduction of the broadband low frequency noise is controlled by the adaptive sub-band filtering algorithm, and the simulation results are also given, which has been proved practicality.
- S.M. Kuo, X. Kong, W.S. Gan. Applications of adaptive feedback active noise control system. IEEE Trans. on Control Systems Technology, 2003,11 (2): 216-220.Google Scholar
Cross Ref
- Pai, A.N.Palazotto. Detection and identification of nonlinearities by amplitude and frequency modulation analysis. Mechanical Systems and Signal Processing, 2008, 22(5):1107-1132.Google ScholarCross Ref
- S.D. Snyder, C.H. Hansen. The effect of transfer function estimation errors on the filtered-X LMS Algorithm. IEEE Trans. on Signal Processing, 1994, 42(4): 950-953.Google ScholarDigital Library
- J. Huo, S. Nordholm, Z. Zang. New weight transform schemes for delayless subband adaptive filter. Proceedings of GLOBECOM’01, New York, USA, 2001, 197- 201.Google Scholar
- Ming Wu, Guoyue Chen, Xiaojun Qiu. “An Improved Active Noise Control Algorithm Without Secondary Path Identification Based on the Frequency-Domain Subband Architecture”. IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 16, NO. 8, NOVEMBER 2008, 1409∼1419Google ScholarDigital Library
- Milani, A.A., Panahi, I.M.S., Loizou, P.C. A new delayless subband adaptive filtering algorithm for active noise control systems. IEEE Trans. on Audio Speech and Language Processing, 2009.Google Scholar
- Tongrui Peng, Quanmin Zhu,Tokhi M. Osman, Yufeng Yao. A Study on PD-like Fuzzy Logic Control Based Active Noise Control for Narrowband Noise Cancellation with Acoustic Feedback and Distance Ratio. Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019), 87-98.Google Scholar
- Shun Hirose, Toshihiko Komatsuzaki, Naoki Kimura, Keita Tanaka, Taisei Yamaguchi. Real-Time Active Noise Control of Multi-tonal Noise Based on Multiply Connected Single Adaptive Notch Filters. Vibration Engineering for a Sustainable Future,08,2021, 335-341Google Scholar
- Tongrui Peng, Quanmin Zhu, M. Osman Tokhi, Yufeng Yao. Simulated Tests of Feedforward Active Noise Control (ANC) for Building Noise Cancellation. Advancements in Smart City and Intelligent Building,2018, 115-123.Google Scholar
- Yanju Zhao, Renzhong Shuai, Leiwei Zhu, Peng Lin, Zongcai Liu. Active Noise Control of Interior Noise of a High-Speed Train Carriage. Noise and Vibration Mitigation for Rail Transportation Systems,2018, 451-459.Google Scholar
- Alessandro LAPINI,Massimiliano BIAGINI,Francesco BORCHI,Monica CARFAGNI,Fabrizio ARGENTI. Design of Active Noise Control Systems for Pulse Noise. Advances on Mechanics, Design Engineering and Manufacturing,2016, 621-630.Google Scholar
- Massimo Generoso Buttarazzi, Chiara Bartalucci, Francesco Borchi, Monica Carfagni, Libero Paolucci. Analysis of Possible Algorithms for Active Noise Control of Siren Noise into an Ambulance. International Conference on Design,Simulation,Manufacturing: The Innovation Exchange, 2021, 630-64.Google Scholar
- Paulo S. R. Diniz. Subband Adaptive Filters. Adaptive Filtering, 2019, 371-406.Google Scholar
- Long Shi, Haiquan Zhao.L1-norm constrained normalized sub-band adaptive filter algorithm with variable norm-bound parameter and improved version. Signal, Image and Video Processing volume 11, 865–871 (2017).Google ScholarCross Ref
- Mohammad Shams Esfand Abadi, Mohammad Saeed Shafiee, Mehrdad Zalaghi A low computational complexity normalized subband adaptive filter algorithm employing signed regressor of input signal.Journal on Advances in Signal Processing volume 2018, 21 (2018).Google Scholar
- Dongxu Liu, Haiquan Zhao, Xiaoqiong He,Lijun Zhou. Polynomial Constraint Generalized Maximum Correntropy Normalized Subband Adaptive Filter Algorithm. Circuits, Systems, and Signal Processing (2021).Google Scholar
- K.Rajgopal. J.Dinesh. A delayless IFIR adaptive filter structure with adapted filterbank[J]. IEEE Transactions on Speech and Audio Processing 2003, 11(1):1052-1054.Google Scholar
- M.Bouchard. B. Paillard. Improved training of neural networks for the nonlinear active control of sound and vibration[J]. IEEE Trans On Signal Processing1999: 10(2):391-401.Google Scholar
- W.Ciesielk. A. Golas. An Adaptive, Anctive Noise Reduction System in Closed Space[J]. Archives of acoustics, 2006, 31(2):p.179-192.Google Scholar
- Fiebig W . Use of Acoustic Camera for Noise Sources Localization and Noise Reduction in the Industrial Plant[J]. Archives of Acoustics, 2020, 45(1):111-117.Google Scholar
- Wu, C., Yu, P. A Study on Active Noise Reduction of Automobile Engine Compartment Based on Adaptive LMS Algorithm. Acoust Aust 48, 431–440 (2020).Google ScholarCross Ref
- Kusni, M., Purnomo, Gunawan, L., Akil, H.A. (2020). Design of Active Noise Reduction Equipment Using Multipole Secondary Source. In: Praveen Kumar, A., Dirgantara, T., Krishna, P.V. (eds) Advances in Lightweight Materials and Structures . Springer Proceedings in Materials, vol 8. Springer, Singapore.Google Scholar
- Chen, W.H.: Study on Active Noise Control System of Commercial Vehicle Cockpit, pp. 42–86. Jilin University, Changchun (2019)Google Scholar
- He, X.: Research and Simulation Design of Active Noise Reduction Algorithm for Space Capsule, pp. 56–88. University of Electronic Science and Technology of China, Chengdu (2018)Google Scholar
Index Terms
- Application of Adaptive Sub-band Filters on Active Noise Control
Recommendations
Adaptive discrete cosine transform for feedback active noise control
ASILOMAR '95: Proceedings of the 29th Asilomar Conference on Signals, Systems and Computers (2-Volume Set)The theory and performance of adaptive discrete cosine transform filters for feedback active noise control (ANC) is examined. The discrete cosine transform filter is a realization of an FIR filter as the cascade of an all-zero FIR filter with a bank of ...
Improving Adaptive Filters for Active Noise Control Using Particle Swarm Optimization
The excessive exposure to certain kinds of acoustic noise can lead to health problems. To avoid this situation, the use of noise attenuation devices is a standard solution. Among those devices, the active noise control ANC systems have gained prominence ...
Steiglitz-McBride adaptive notch filter based on a variable-step-size LMS algorithm and its application to active noise control
This paper proposes a new Steiglitz-McBride SM adaptive notch filter SM-ANF based on a robust variable-step-size least-mean-square algorithm and its application to active noise control ANC. The proposed SM-ANF not only has fast convergence but also has ...
Comments