자동 2차경로 추정기법을 이용한 안정한 능동소음제어

Stable Active Noise Control Using Auto-Secondary Path Estimation Techniques

  • 남현도 (단국대학교 공과대학 전자전기공학부) ;
  • 서성대 (단국대학교 대학원 전기공학과)
  • 발행 : 2009.11.01

초록

The adaptive IIR filters for active noise control systems are more effective when acoustic feedback exists, but the adaptive IIR filters could be unstable when the filter algorithm is not yet converged. In this paper, auto-secondary path estimation techniques and a stabilizing process for adaptive Multi-Channel Recursive LMS (MCRLMS) filters are developed to improve the stability of multi-channel active noise control systems. Experiments using a TMS320VC33 digital signal processor in a three dimensional enclosure have performed to show the effectiveness of the proposed algorithm.

키워드

참고문헌

  1. S.M. Kuo. and D. Morgan, Active Noise Control System, John Wiley and Sons. Inc., New York, 1996
  2. S. M. Kuo, H. T. Wu, F. K. Chen and M. R. Gunnala, 'Saturation effects in active noise control systems,' IEEE Trans. on Circuits and Systems , Vol. 51, pp. 1163-1171, 2004 https://doi.org/10.1109/TCSI.2004.829241
  3. H.D, Nam and K.H. Baek, 'Satbilized recursive LMS algorithms for active noise control,' Internoise 2003, Jeju, pp.467-473, 2003
  4. 서성대, '안정성이 강화된 적응필터를 이용한 능동소음 제어,' 박사학위논문, 단국대학교, 2008
  5. S.C. Douglas and T.H.Y. Meng, 'Exact expectation analysis of the LMS adaptive filter without the independence assumption,' in Proc. ICASSP, Vol. IV, pp. 61-64, 1992 https://doi.org/10.1109/ICASSP.1992.226411