• DocumentCode
    1300436
  • Title

    Normalized adaptive decision directed equalization

  • Author

    Swindlehurst, A. Lee

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
  • Volume
    5
  • Issue
    1
  • fYear
    1998
  • Firstpage
    18
  • Lastpage
    20
  • Abstract
    It has been observed that with appropriate stepsize normalization, the convergence speed of the constant modulus (CM) algorithm can be dramatically improved. It is shown that if a different normalization strategy is used, one that takes into account the finite alphabet structure of the signals, a standard normalized version of the decision directed equalizer (DDE) is achieved. A simulation example is included to demonstrate the faster convergence of the normalized DDE compared with its constant stepsize implementation and the normalized CM.
  • Keywords
    adaptive equalisers; adaptive filters; adaptive signal processing; convergence of numerical methods; decision theory; filtering theory; least mean squares methods; LMS adaptive filter; QPSK signal; constant modulus algorithm; constant stepsize; convergence speed; finite alphabet structure; normalized adaptive decision directed equalization; normalized constant modulus; stepsize normalization; Adaptive equalizers; Adaptive filters; Blind equalizers; Constellation diagram; Convergence; Decision feedback equalizers; Error correction; Least squares approximation; Performance analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.654869
  • Filename
    654869