• DocumentCode
    1116815
  • Title

    A Unified Approach to Dynamic Length Algorithms for Adaptive Linear Equalizers

  • Author

    Wei, Xusheng ; Cruickshank, David G M ; Mulgrew, Bernard ; Riera-Palou, Felip

  • Author_Institution
    Wireless Group, Philips Res., Redhill
  • Volume
    55
  • Issue
    3
  • fYear
    2007
  • fDate
    3/1/2007 12:00:00 AM
  • Firstpage
    908
  • Lastpage
    920
  • Abstract
    The number of taps is an important factor which affects nearly all the performance and complexity measures of adaptive equalizers. Recently, dynamic length algorithms for the adaptive finite impulse response (FIR) filters have attracted considerable attention and several methods have been proposed. Nevertheless, the relationship among these techniques is still unclear which makes the performance comparison remaining difficult. In this paper, a unified explanation of these techniques is presented which summarizes all proposed algorithms and provides a platform for their performance comparison. Moreover, a new type of dynamic length algorithms, the varying threshold dynamic length algorithm (VT-DLA) is proposed. Simulation results show that the performance of the new algorithm outperforms that of existing algorithms
  • Keywords
    FIR filters; adaptive equalisers; adaptive filters; mean square error methods; FIR filters; adaptive finite impulse response filters; adaptive linear equalizers; varying threshold dynamic length algorithm; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Equalizers; Finite impulse response filter; Heuristic algorithms; Least squares approximation; Length measurement; Mean square error methods; Steady-state; Adaptive filters; dynamic length algorithm (DLA); filter length; least mean square (LMS); mean square error (MSE);
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2006.887561
  • Filename
    4099579