• DocumentCode
    1224508
  • Title

    Improved performance adaptive algorithm for system identification under impulsive noise

  • Author

    Stathaki, Tania

  • Volume
    39
  • Issue
    11
  • fYear
    2003
  • fDate
    5/29/2003 12:00:00 AM
  • Firstpage
    878
  • Lastpage
    880
  • Abstract
    The recently introduced normalised robust mixed-norm (NRMN) algorithm improved the performance of its predecessor robust mixed-norm (RMN), proposed for system identification under impulsive noise (IN) environments. The NRMN inherited the mixing parameter of RMN, the definition of which however was not based upon any statistical information for the IN. An improved performance NRMN algorithm is proposed which defines its mixing parameter and normalised step-size in a novel way based upon a model choice for the IN. The proposed algorithm outperforms the NRMN with respect to the convergence rate and misadjustment.
  • Keywords
    adaptive estimation; adaptive filters; convergence of numerical methods; filtering theory; identification; impulse noise; convergence rate; impulsive noise environment; mixing parameter; normalised robust mixed-norm algorithm; normalised step-size; system identification;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20030468
  • Filename
    1207250