• DocumentCode
    494992
  • Title

    Active Control of Vehicle Interior Noise Based on Selective Attenuation Method

  • Author

    Jiang, Ji-guang ; Wang, Deng-feng ; Zeng, Yue ; Wang, Jun-ting ; Cao, Xiao-lin

  • Author_Institution
    State Key Lab. of Automotive Dynamic, Jilin Univ., Changchun, China
  • Volume
    3
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    157
  • Lastpage
    160
  • Abstract
    Based on the least square mean method which is broadly applied on the active noise control technology, the paper calculated the frequency selective LMS algorithm and created the model for the application of the algorithm on active noise control; and was modeled and analyzed the adaptive attenuation simulation with single tone noise signal and narrow band noise signal demonstrating on the platform of Matlab/Simulink, after the control parameters of filter performance parameters and step size and filter length of adaptive filter was decided. The simulation result showed obvious counteract effect of noise signal, it was identical with theoretic solution and the presented algorithm was valid.
  • Keywords
    acoustic noise; acoustic signal processing; active noise control; adaptive control; adaptive filters; least mean squares methods; road vehicles; signal denoising; Matlab/Simulink platform; adaptive active noise control technology; adaptive filter; frequency selective LMS algorithm; least mean square method; narrow band noise signal; road vehicle interior noise; selective adaptive attenuation simulation; single tone noise signal; sound quality control; Active noise reduction; Adaptive filters; Attenuation; Frequency; Least squares approximation; Least squares methods; Mathematical model; Paper technology; Size control; Vehicles; active noise control; frequency selective noise control; vehicle interior noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.245
  • Filename
    5168828