• DocumentCode
    82036
  • Title

    Variable Tap-Length LMS Algorithm Based on Adaptive Parameters for TDL Structure Adaption

  • Author

    Dingjie Xu ; Bo Yin ; Wei Wang ; Wei Zhu

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • Volume
    21
  • Issue
    7
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    809
  • Lastpage
    813
  • Abstract
    A variable tap-length LMS algorithm based on adaptive parameters for tapped-delay-line (TDL) structure adaption is proposed in this paper. The objective of this work is to overcome some drawbacks of previous variable tap-length adaptive filter algorithms, including slow convergence speed and high sensitivity to noise. Novel tap-length iteration equation based on adaptive parameters and arctangent-limited value is proposed. The values of adaptive parameters can automatically change according to the filter state, which not only improves the convergence speed but also reduces the steady-state error. The arctangent-limited value can effectively reduce the instantaneous estimated error, which enhances the robustness to noise. Computer simulations are conducted to verify the performance of proposed algorithm.
  • Keywords
    adaptive filters; convergence of numerical methods; delay lines; iterative methods; least mean squares methods; signal processing; TDL structure adaption; adaptive filter algorithms; adaptive parameters; arctangent-limited value; convergence speed; least mean squares; tap length iteration equation; tapped-delay-line; variable tap-length LMS algorithm; Algorithm design and analysis; Convergence; Equations; Least squares approximations; Noise; Signal processing algorithms; Steady-state; Adaptive parameters; LMS; structure adaption; variable tap-length;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2317752
  • Filename
    6799247