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Shock and Vibration
Volume 2017, Article ID 7289076, 6 pages
https://doi.org/10.1155/2017/7289076
Research Article

Adaptive Active Noise Suppression Using Multiple Model Switching Strategy

1School of Electrical Information Engineering, Henan Institute of Engineering, Zhengzhou 451191, China
2School of Computer, Henan Institute of Engineering, Zhengzhou 451191, China

Correspondence should be addressed to Zhuangzhi Guo; moc.621@2102ihzgnauhzoug

Received 21 September 2016; Revised 26 November 2016; Accepted 19 December 2016; Published 29 January 2017

Academic Editor: Jeong-Hoi Koo

Copyright © 2017 Quanzhen Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. N. V. George and G. Panda, “Advances in active noise control: a survey, with emphasis on recent nonlinear techniques,” Signal Processing, vol. 93, no. 2, pp. 363–377, 2013. View at Publisher · View at Google Scholar · View at Scopus
  2. Y. Li, X. Wang, and D. Zhang, “Control strategies for aircraft airframe noise reduction,” Chinese Journal of Aeronautics, vol. 26, no. 2, pp. 249–260, 2013. View at Publisher · View at Google Scholar · View at Scopus
  3. Z. Bo, J. Yang, C. Sun, and S. Jiang, “A filtered-x weighted accumulated LMS algorithm: stochastic analysis and simulations for narrowband active noise control system,” Signal Processing, vol. 104, pp. 296–310, 2014. View at Publisher · View at Google Scholar · View at Scopus
  4. I.-H. Yang, J.-E. Jeong, U.-C. Jeong, J.-S. Kim, and J.-E. Oh, “Improvement of noise reduction performance for a high-speed elevator using modified active noise control,” Applied Acoustics, vol. 79, pp. 58–68, 2014. View at Publisher · View at Google Scholar · View at Scopus
  5. G. Nelson, R. Rajamani, and A. Erdman, “Noise control challenges for auscultation on medical evacuation helicopters,” Applied Acoustics, vol. 80, pp. 68–78, 2014. View at Publisher · View at Google Scholar · View at Scopus
  6. Y. Kajikawa, W.-S. Gan, and S. M. Kuo, “Recent applications and challenges on active noise control,” in Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis (ISPA '13), Trieste, Italy, September 2013. View at Scopus
  7. S. Bianchi, A. Corsini, and A. G. Sheard, “A critical review of passive noise control techniques in industrial fans,” Journal of Engineering for Gas Turbines and Power, vol. 136, no. 4, Article ID 044001, 2013. View at Publisher · View at Google Scholar · View at Scopus
  8. D. Moreau, Active Control of Noise and Vibration, CRC Press, Second edition, 2012. View at Publisher · View at Google Scholar
  9. G. Sun, T. Feng, M. Li, and T. C. Lim, “Convergence analysis of FxLMS-based active noise control for repetitive impulses,” Applied Acoustics, vol. 89, pp. 178–187, 2015. View at Publisher · View at Google Scholar · View at Scopus
  10. B. Krstajic, Z. Zecevic, and Z. Uskokovic, “Increasing convergence speed of FxLMS algorithm in white noise environment,” AEU - International Journal of Electronics and Communications, vol. 67, no. 10, pp. 848–853, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. T. Wang and W.-S. Gan, “Stochastic analysis of FXLMS-based internal model control feedback active noise control systems,” Signal Processing, vol. 101, pp. 121–133, 2014. View at Publisher · View at Google Scholar · View at Scopus
  12. I. T. Ardekani and W. H. Abdulla, “Theoretical convergence analysis of FxLMS algorithm,” Signal Processing, vol. 90, no. 12, pp. 3046–3055, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  13. I. T. Ardekani and W. H. Abdulla, “Filtered weight FxLMS adaptation algorithm: analysis, design and implementation,” International Journal of Adaptive Control and Signal Processing, vol. 25, no. 11, pp. 1023–1037, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  14. P. Davari and H. Hassanpour, “Designing a new robust on-line secondary path modeling technique for feedforward active noise control systems,” Signal Processing, vol. 89, no. 6, pp. 1195–1204, 2009. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  15. H. Hassanpour and P. Davari, “An efficient online secondary path estimation for feedback active noise control systems,” Digital Signal Processing, vol. 19, no. 2, pp. 241–249, 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. M. T. Akhtar, M. Abe, M. Kawamata, and A. Nishihara, “Online secondary path modeling in multichannel active noise control systems using variable step size,” Signal Processing, vol. 88, no. 8, pp. 2019–2029, 2008. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  17. Q. Huang, J. Luo, Z. Gao, X. Zhu, and H. Li, “An improved filter-u least mean square vibration control algorithm for aircraft framework,” Review of Scientific Instruments, vol. 85, no. 9, Article ID 095003, 2014. View at Publisher · View at Google Scholar · View at Scopus
  18. G.-Y. Jin, T.-J. Yang, Y.-H. Xiao, and Z.-G. Liu, “A simultaneous equation method-based online secondary path modeling algorithm for active noise control,” Journal of Sound and Vibration, vol. 303, no. 3–5, pp. 455–474, 2007. View at Publisher · View at Google Scholar · View at Scopus
  19. N. V. George and G. Panda, “A particle-swarm-optimization-based decentralized nonlinear active noise control system,” IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 12, pp. 3378–3386, 2012. View at Publisher · View at Google Scholar · View at Scopus
  20. S. Tyagi, V. Katre, and N. V. George, “Online estimation of secondary path in active noise control systems using Generalized Levinson Durbin algorithm,” in Proceedings of the 19th International Conference on Digital Signal Processing (DSP '14), pp. 552–555, IEEE, Hong Kong, August 2014. View at Publisher · View at Google Scholar · View at Scopus
  21. M. S. Aslam and M. A. Z. Raja, “A new adaptive strategy to improve online secondary path modeling in active noise control systems using fractional signal processing approach,” Signal Processing, vol. 107, pp. 433–443, 2015. View at Publisher · View at Google Scholar · View at Scopus
  22. M. Gao, J. Lu, and X. Qiu, “A simplified subband ANC algorithm without secondary path modeling,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 24, no. 7, pp. 1164–1174, 2016. View at Publisher · View at Google Scholar · View at Scopus