• DocumentCode
    3208024
  • Title

    Blended CMA: smooth, adaptive transfer from CMA to DD-LMS

  • Author

    Litwin, L.R., Jr. ; Zoltowski, M.D. ; Endres, T.J. ; Hulyalkar, S.N.

  • Author_Institution
    Purdue Univ., West Lafayette, IN, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    797
  • Abstract
    A common technique in a blind equalization communication system is to use the constant modulus algorithm (CMA) to open the channel eye and then to switch to decision-directed LMS once the error rate has dropped to a sufficiently low level. The propose a new algorithm, blended CMA, which dynamically selects to use either the CMA or DD-LMS update term when adapting the equalizer taps. The decision rule governing this selection is also adaptive. Simulation results presented in this paper demonstrate how the algorithm performs when equalizing 64-QAM over real-world channels and highlights the performance gain over using traditional transfer methods
  • Keywords
    adaptive equalisers; blind equalisers; least mean squares methods; quadrature amplitude modulation; 64-QAM; DD-LMS; blended CMA; blind equalization communication system; channel eye; constant modulus algorithm; decision rule; decision-directed LMS; error rate; performance gain; real-world channels; smooth adaptive transfer; Blind equalizers; Communication switching; Decision feedback equalizers; Equations; Error analysis; Error correction; Least squares approximation; Performance gain; Stochastic processes; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference, 1999. WCNC. 1999 IEEE
  • Conference_Location
    New Orleans, LA
  • ISSN
    1525-3511
  • Print_ISBN
    0-7803-5668-3
  • Type

    conf

  • DOI
    10.1109/WCNC.1999.796764
  • Filename
    796764