Implement an Indoor Low Frequency Noise Reduction System Based on FXLMS Algorithm

Article Preview

Abstract:

In order to solve the hazards of indoor low-frequency noise on the human body, the low-frequency noise reduction system is designed for a confined space by using the active control theory, and the process of adaptive noise elimination is achieved through the FX-LMS algorithm. The system hardware is integrated with the sound sensor, the complex programmable logic devices, the digital to analog converter and micro control unit to build the core circuit. Furthermore, the processing software of noise reduction is implemented by the FXLMS. Through the system test, the result shows that the noise reduction system can effectively reduce the low frequency noise intensity in the confined space.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

440-447

Citation:

Online since:

October 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] L. Ruyu, G Yanliang. Influence of low frequency noise and its control. Chinese Journal of Acoustics, Vol. 3 (1998), pp.214-223.

Google Scholar

[2] Kuo S M, Morgan D R. Active noise control: a tutorial reiew. Proceddings of the IEEE, Vol. 87 (1999) . pp.943-973.

Google Scholar

[3] Saruta S. Active noise control apparatus for domestic appliance, U.S. Patent 5, 129, 003. (1992).

Google Scholar

[4] Smith D G, Arnold M F, Ziegler E W, et al. A Systems Approach to Appliance Compressor Quieting Using Active Noise Control Techniques, (1992).

Google Scholar

[5] Information on http: /www. antysound. com/index. aspx?menuid=4&ty pe=productinfo&lanmuid =6&infoid=86&language=cn.

Google Scholar

[6] Information on http: /www. caacoustics. com/UpFile/1-110P5140Z8. pdf.

Google Scholar

[7] Cao Binfang. Research on adaptive noise cancelling technology, Hunan University (2007).

Google Scholar

[8] Martens, Steven, and Ludwig Haber. Jet noise reduction for high speed exhaust systems., ASME Turbo Expo 2008: Power for Land, Sea, and Air. American Society of Mechanical Engineers, (2008).

DOI: 10.1115/gt2008-50455

Google Scholar

[9] Shimada Y, Nishimura Y, Usagawa T, et al. Active control of periodic noise by a synthesized harmonic signal. INTER-NOISE and NOISE-CON Congress and Conference Proceedings. Institute of Noise Control Engineering, 1995, (5): 1097-1106.

DOI: 10.3397/in-2021-2254

Google Scholar

[10] Tahir Akhtar, Muhammad, and Wataru Mitsuhashi. Improving performance of FxLMS algorithm for active noise control of impulsive noise., Journal of Sound and Vibration 327. 3 (2009): 647-656.

DOI: 10.1016/j.jsv.2009.07.023

Google Scholar

[11] Tabatabaei Ardekani, I., and Waleed H. Abdulla. Theoretical convergence analysis of FxLMS algorithm., Signal Processing 90. 12 (2010): 3046-3055.

DOI: 10.1016/j.sigpro.2010.05.009

Google Scholar

[12] Ardekani, I. Tabatabaei, and W. H. Abdulla. FxLMS-based active noise control: A quick review., Proceedings of. (2011).

Google Scholar

[13] Environmental Noise Pollution Control Act People's Republic of China, Information on http: /www. zhb. gov. cn/epi-sepa/zcfg/w1/w3. htm.

Google Scholar