DOI QR코드

DOI QR Code

Novel Variable Step-Size Gradient Adaptive Lattice Algorithm for Active Noise Control

능동 소음 제어를 위한 새로운 가변 수렴 상수 Gradient Adaptive Lattice Algorithm

  • 이근상 (연세대학교 컴퓨터정보통신공학부) ;
  • 김성우 (연세대학교 전자전기 공학과) ;
  • 임재풍 (연세대학교 컴퓨터정보통신공학부) ;
  • 서영수 (국방과학연구소) ;
  • 박영철 (연세대학교 컴퓨터정보통신공학부)
  • Received : 2014.05.28
  • Accepted : 2014.06.27
  • Published : 2014.09.30

Abstract

In this paper, a novel variable step-size filtered-x gradient adaptive lattice (NVSS-FxGAL) algorithm for active noise control system is proposed. The gradient adaptive lattice (GAL) algorithm is capable of controlling the narrow band noise effectively. The GAL algorithm can achieve both fast convergence rate and low steady-state level using the variable step-size. However, it suffers from the convergence performance for varying signal characteristic since the global variable step-size is equally applied to all lattice stages. Therefore, the proposed algorithm guarantees the stable and consistency convergence performance by using the local variable step-size for the suitable each lattice stage. Simulation results confirm that the proposed algorithm can obtain the fast convergence rate and low steady-state level compared to the conventional algorithms.

본 논문은 능동 소음 제어 시스템에 적합한 새로운 가변 수렴 상수 filtered-x gradient adaptive lattice(NVSS-FxGAL) 알고리즘을 제안한다. Gradient adaptive lattice(GAL) 알고리즘은 협대역 특성을 가지는 소음을 효과적으로 제어할 수 있다. GAL 알고리즘의 수렴 성능을 개선하기 위한 가변 격자 필터의 각 단계에 동일하게 적용하면 입력 신호의 특성 변화에 강인하게 대처하지 못한다. 제안 알고리즘은 격자 필터의 각 단계에 적합한 로컬 가변 수렴상수를 이용하여 안정적이고 일관성 있는 수렴 성능을 보장한다. 실험을 통해 제안 알고리즘은 빠른 수렴 속도와 낮은 정상 상태를 보임을 확인하였다.

Keywords

References

  1. S. J. Elliott and P. A. Nelson, "Active noise control," IEEE Signal Process. Mag. 10, 12-35 (1993). https://doi.org/10.1109/79.248551
  2. S. M. Kuo and D. R. Morgan, "Active noise control: a tutorial review," Proc. of the IEEE. 87, 943-973 (1999). https://doi.org/10.1109/5.763310
  3. P. A. Nelson and S. J. Elliott, Active Control of Sound (Academic Press, New York, 1992), pp. 195-203.
  4. S. Haykin, Adaptive Filter Theory, 4th ed. (Prentice-Hall, New Jersey, 1996), pp. 332-340.
  5. S. C. Douglas, "The fast affine projection algorithm for active noise control," in Proc. 29th Asilomar Conf. on Signals, Systems and Computers 2, 1245-1249 (1995).
  6. A. Carini and G. Sicuranza, "Transient and steady-state analysis of filtered-x affine projection algorithm," IEEE Trans. on Signal Process. 54, 665-678 (2006). https://doi.org/10.1109/TSP.2005.861755
  7. L. J. Griffiths, "An adaptive lattice structure for noisecancelling applications," in Proc. IEEE Int. Conf. on ASSP. 3, 37-90 (1978).
  8. E. H. Satorius, J. D. Smith, and P. M. Reeves, "Adaptive noise cancelling of a sinusoidal interference using a lattice structure," in Proc. IEEE Int. Conf. on ICASSP.4, 929-932 (1979).
  9. R. C. North, J. R. Zeidler, T. R. Albert, and W. H. Ku, "Comparison of adaptive lattice filters to LMS transversal filters for sinusoidal cancellation," in Proc. IEEE Int. Conf. on ASSP. 4, 33-36 (1992).
  10. Y. C. Park and S. D. Sommerfeldt, "A fast adaptive noise control algorithm based on the lattice structure," Applied Acoust. 47, 1-25 (1996). https://doi.org/10.1016/0003-682X(95)00014-Z
  11. S. W. Kim, Y. C. Park, andD. H. Youn, "A variable step-size filtered-x gradient adaptive lattice algorithm for active noise control," in Proc. IEEE Int. Conf. on ICASSP, 189-192 (2012).