• DocumentCode
    1659616
  • Title

    A fast convergent algorithm for joint blind equalization and carrier recovery

  • Author

    Zhang, Yinbing ; Zhao, Junwei ; Li, Jinming ; Sun, Yong

  • Author_Institution
    Coll. of Marine Eng., Northwestern Polytech. Univ., Xian
  • fYear
    2008
  • Firstpage
    1784
  • Lastpage
    1787
  • Abstract
    Convergence speed and residual inter-symbol interference (ISI) are main performance criteria for blind equalization algorithms. According to the fast convergence ability of the super-exponential iteration (SEI) algorithm and the ability to correct the phase error of the modified constant modulus algorithm (MCMA), a fast convergent algorithm for joint blind equalization and carrier recovery is proposed by combining the above two algorithms with fractionally-spaced system. The performance of the proposed algorithm is verified by computer simulations. Compared with the traditional baud-spaced constant modulus algorithm (CMA) and MCMA, the simulation results show that the proposed algorithm has the characteristics of faster convergence speed and less residual ISI. It can correct the phase error of the carrier frequency and improve the performances of communication systems.
  • Keywords
    blind equalisers; iterative methods; baud-spaced constant modulus algorithm; carrier recovery; fast convergence; fast convergent algorithm; fractionally-spaced system; joint blind equalization algorithm; modified constant modulus algorithm; residual inter-symbol interference; super-exponential iteration algorithm; Adaptive equalizers; Blind equalizers; Computational modeling; Computer errors; Computer simulation; Convergence; Error correction; Frequency; Intersymbol interference; Phase locked loops; blind equalization; carrier recovery; fractionally-spaced; super-exponential iteration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697484
  • Filename
    4697484