• DocumentCode
    2933652
  • Title

    Variable Step-Size correlation phase algorithm: Analysis and simulations

  • Author

    Koike, Shin´ichi

  • fYear
    2007
  • fDate
    Nov. 28 2007-Dec. 1 2007
  • Firstpage
    470
  • Lastpage
    473
  • Abstract
    Based on "phase" of a correlation between error signal and filter reference input, this paper first derives correlation phase algorithm (CPhiA) for adaptive filters in the complex-number domain, and further proposes a simple variable step-size control method to be combined with the CPhiA. The proposed VSS-CPhiA achieves significant improvement in convergence speed of the CPhiA, while preserving its robustness against impulse noise. Through analysis and experiment, we demonstrate effectiveness of the VSS-CPhiA in realizing sufficiently fast-convergent and robust adaptive filters. Good agreement between simulated and theoretical convergence behavior in transient phase and steady state proves the validity of the analysis.
  • Keywords
    adaptive filters; correlation methods; least mean squares methods; LMS algorithm; complex-number domain; filter reference input; robust adaptive filters; transient phase; variable step-size correlation phase algorithm; Adaptive filters; Additive noise; Algorithm design and analysis; Analytical models; Convergence; Least squares approximation; Noise robustness; Phase noise; Signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-1447-5
  • Electronic_ISBN
    978-1-4244-1447-5
  • Type

    conf

  • DOI
    10.1109/ISPACS.2007.4445926
  • Filename
    4445926