• DocumentCode
    1801487
  • Title

    Estimate of nonlinear system of engine noise transfer based on higher order statistics (HOS)

  • Author

    Ruolun, Liu ; Shuxun, Wang ; Chuanxue, Song

  • Author_Institution
    Inf. Coll., Jilin Univ. of Technol., Changchun, China
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    334
  • Abstract
    Based on the higher order statistics (HOS), a step variable adaptive method for the nonlinear system estimation of engine noise transfer is proposed. It gives consistent estimation of parameters of linear and nonlinear components separately, so every step is easy to explore. HOS makes this algorithm insensitive to any i.i.d. noise. The variable step of the adaptive algorithm gives fast convergence rate. Our experiments on a microbus show that the proposed approach gives a system function that precisely describes the transfer of engine noise
  • Keywords
    acoustic signal processing; automotive electronics; higher order statistics; noise abatement; parameter estimation; road vehicles; adaptive algorithm; engine noise transfer; fast convergence; higher order statistics; linear components; microbus; nonlinear components; nonlinear system estimation; parameters estimation; step variable adaptive method; vehicle inner noise control; Assembly; Automobiles; Engines; Frequency; Higher order statistics; Noise measurement; Nonlinear systems; Parameter estimation; Pollution measurement; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Electronics Conference, 1999. (IVEC '99) Proceedings of the IEEE International
  • Conference_Location
    Changchun
  • Print_ISBN
    0-7803-5296-3
  • Type

    conf

  • DOI
    10.1109/IVEC.1999.830699
  • Filename
    830699