• DocumentCode
    394707
  • Title

    A new adaptive IIR algorithm for active noise control

  • Author

    Lu, Jing ; Qiu, Xiaojun ; Xu, Boling

  • Author_Institution
    State Key Lab of Modern Acoust., Nanjing Univ., China
  • Volume
    5
  • fYear
    2003
  • fDate
    6-10 April 2003
  • Abstract
    In some situations of active noise control, IIR filters are more suitable than FIR filters, due to the poles in the transfer function. A number of algorithms have been derived for applying IIR filters in active noise control (ANC), however, most of them use the direct form IIR filter structure, which faces the difficulties of checking stability and of relatively slow convergence speed for noise composed of narrow band components with large power disparity. To overcome these difficulties along with using the direct form IIR filters, a new adaptive algorithm is proposed; it uses and updates the lattice form adaptive IIR filter in an active noise control system. The comparison between the proposed algorithm and the commonly used filtered-u LMS and filtered-v LMS algorithms shows the superiority of the proposed algorithm.
  • Keywords
    IIR filters; acoustic noise; acoustic signal processing; active noise control; adaptive filters; convergence of numerical methods; filtering theory; lattice filters; least mean squares methods; poles and zeros; transfer functions; ANC; FIR filters; IIR filters; active noise control; adaptive filter; convergence speed; direct form filters; filtered-u LMS algorithm; filtered-v LMS algorithms; gradient algorithm; lattice filter; lattice form filter; narrow band components; poles; power disparity; transfer function; Active noise reduction; Adaptive control; Convergence; Finite impulse response filter; IIR filters; Least squares approximation; Narrowband; Programmable control; Stability; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7663-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2003.1200032
  • Filename
    1200032