• DocumentCode
    2551055
  • Title

    Improved Square Contour Algorithm for Blind Equalization of QAM Signals

  • Author

    Sheikh, Shahzad Amin ; Fan, Pingzhi

  • Author_Institution
    Inst. of Mobile Commun., Southwest Jiaotong Univ., Chengdu
  • fYear
    2006
  • fDate
    23-24 Dec. 2006
  • Firstpage
    116
  • Lastpage
    119
  • Abstract
    Improved square contour algorithm for blind equalization of QAM signals is presented in this paper. The new scheme employs the estimated symbols in the cost function along with the dispersion constant enforcing equalizer output to reside on multiple moduli. This mechanism reduces the error associated with the new cost function in an efficient manner, which leads to a noteworthy increase in convergence speed and inter-symbol interference suppression. The convergence characteristics of the proposed scheme demonstrated by the simulation results for 16-QAM signal constellation substantiate the efficacy of this new blind equalizer over existing square contour algorithm (SCA) and recently proposed modified square contour algorithm (MSCA)
  • Keywords
    blind equalisers; functions; intersymbol interference; quadrature amplitude modulation; QAM signals; auadrature amplitude modulation; blind equalization; convergence characteristics; improved square contour algorithm; intersymbol interference suppression; modified square contour algorithm; Adaptive algorithm; Blind equalizers; Constellation diagram; Convergence; Cost function; Degradation; Interference suppression; Intersymbol interference; Mobile communication; Quadrature amplitude modulation; Blind Equalization; Modified Square Contour Algorithm (MSCA); Quadrature Amplitude Modulation (QAM) Signaling; Square Contour Algorithm (SCA);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multitopic Conference, 2006. INMIC '06. IEEE
  • Conference_Location
    Islamabad
  • Print_ISBN
    1-4244-0795-8
  • Electronic_ISBN
    1-4244-0795-8
  • Type

    conf

  • DOI
    10.1109/INMIC.2006.358147
  • Filename
    4196390