• DocumentCode
    1926533
  • Title

    Adaptive blind equalization criteria and algorithms for QAM data communication systems

  • Author

    Lou, Yuang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
  • fYear
    1990
  • fDate
    21-23 Mar 1990
  • Firstpage
    222
  • Lastpage
    229
  • Abstract
    A new error criterion for blind equalization is proposed, and it is shown that, after the startup period, the new error criterion converges to the conventional decision-directed MSE criterion, such that the transition between the two modes is smooth. It is proved that the error criterion improves the ill-conditioning probability. It is also shown that the convergence of the new criterion is independent of the initial equalizer tap settings. Its implementation complexity is similar to that of the conventional MSE equalizer algorithm. Comparisons are made with other blind equalization criteria and algorithms. Computer simulations of 16-point QAM support the theoretical analysis of the criterion convergence. A better performance is shown in the eye-pattern reopening test and the average error probability measurement
  • Keywords
    amplitude modulation; data communication systems; equalisers; 16-point QAM; QAM data communication systems; adaptive blind equalization criteria; average error probability measurement; criterion convergence; decision-directed MSE criterion; error criterion; eye-pattern reopening test; ill-conditioning probability; Adaptive equalizers; Blind equalizers; Computer errors; Convergence; Data communication; Decision feedback equalizers; Digital communication; Fading; Intersymbol interference; Quadrature amplitude modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communications, 1990. Conference Proceedings., Ninth Annual International Phoenix Conference on
  • Conference_Location
    Scottsdale, AZ
  • Print_ISBN
    0-8186-2030-7
  • Type

    conf

  • DOI
    10.1109/PCCC.1990.101623
  • Filename
    101623