Browse > Article
http://dx.doi.org/10.5207/JIEIE.2002.16.5.112

Adoptive IIR Fillers for Active Noise Control  

남현도 (단국대학교 전기전자컴퓨터공학부)
Publication Information
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers / v.16, no.5, 2002 , pp. 112-118 More about this Journal
Abstract
The adaptive m filters is more effective than m filters when acoustic feedback exists, in which cause an order of a FIR filter must be very large if some of poles of the ideal control filter are near the unit circle. But the IIR filters may have stability problems especially when the adaptive algorithm is not converged. In this paper, a stabilizing procedure for adaptive IIR filters is proposed. In the beginning of the ANC system, it improve a stability by pulling the poles of the IIR filter to the center of the unit circle, and it returns the poles to their original positions after the filter converge. Computer simulations and experiments are performed to show the effectiveness of proposed schemes.
Keywords
active noise control; adaptive IIR filter; filtered-x algorithm; stabilization;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 H.D. Nam and S.J. Elliott, "Adaptive active attenuation of noise using multiple model approaches," Mech. Systems and Signal Processing, vol.9, no.5, pp.555-567, 1995.   DOI   ScienceOn
2 S.M. Kuo and D.Morgan, "Active noise control system," John Wiley and Sons. Inc, New York, 1996.
3 P.L Feintuch, "An adaptive recursive LMS filter," Proc. IEEE, vol.64, no.11, pp.1622-1624, 1976.   DOI   ScienceOn
4 L.J. Eriksson, "Active sound attenuation using adaptive digital signal processing techniques," IEEE Trans. on ASSP., 1985.
5 B.Widrow and S.D. Stearns, "Adaptive signal processing", Prentice-Hall. Inc, 1985.
6 B.Friedlander, "A modified prefilter for some recursive parameter estimation algorithms," IEEE Transactions on automatic control, vol.AC-27, no.1, 1982.
7 Texas Instruments, "TMS320C62x/C67x porgrammer's guide", 1998.
8 T.Brennan, "Bounding adaptive filter poles using Kharitonov's theorem," Proc. 22nd Asilomar conf. Signals, Systems, Computers, Pacific Grove, California, pp.658-662, 1984.