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http://dx.doi.org/10.5207/JIEIE.2003.17.6.147

Implementation of Active Noise Barriers Using Multiple Channel LMS Algorithms  

남현도 (단국대학교 전기전자컴퓨터공학부)
서성대 (단국대학교 대학원 전기공학과)
Publication Information
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers / v.17, no.6, 2003 , pp. 147-153 More about this Journal
Abstract
In this paper, implementation of active noise barriers(ANB) to attenuate exterior noise which is propagated through open windows is presented. The leaky multiple channel LMS algorithms are used for adaptive filters tc improve the convergence property, and a new type of the active noise barrier is proposed. The attenuation effects of conventional active noise control(ANC) systems using leaky multiple channel LMS algorithms and the proposed system are compared by experiments using a TMS320C33 digital signal processor. Noise attenuation levels at the points of error microphones are similar for both systems, but average noise attenuation effects of the proposed system for an entire space of an experimental enclosure are much better than conventional ANC systems.
Keywords
active noise barrier; adaptive filter; multi-channel LMS algorithm; digital signal processor;
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  • Reference
1 P. Lueg, Processing of Silencing Sound Oscillations, U.S. Patent 2,043,416, 1936.
2 S.M. Kuo and D. Morgan, Active Noise Control System, John Wiley and Sons. Inc, New York, 1996.
3 S. Ise, H. Yano and H. Tachibana, “Application of active control to noise barrier,” Proc. of Active Control of Sound and Vibration. Japan. pp.309-315, 1991.
4 남현도, 서성대, 황정현, “협대역 능동소음 제어기법을 이용한 화력발전소 소음제어,” 조명.전기설비학회 논문지, 15권, pp.460-466, 2001.   과학기술학회마을
5 J. Yang and W.S. Gan, “On the active controlled noise barrier,” J. of Sound and Vibration, vol.240, pp.592-597, 2001.   DOI   ScienceOn
6 Texas Instruments, TMS320VC33 Programmer' s Guide, 2000.
7 S.J. Elliott, I.M. Stothers and P.A. Nelson, “A multiple error LMS algorithm and its application to the active control of sound and vibration,” IEEE Trans. ASSP, vol.ASSP-35, pp.1432-1434, 1987.
8 B. Widrow and S.D. Stearns, Adaptive Signal Processing, Prentice-Hall, EngleWood Cliffs, New Jersey, 1985.
9 E.C. Lfeachor and B.W. Jervis, Digital Signal Processing, Addison- Wesley, 1996.