• DocumentCode
    2380257
  • Title

    A new approach to blind channel identification for mobile radio fading channels

  • Author

    Schmidbauer, Andreas ; Specht, Werner ; Herzog, Rupert

  • Author_Institution
    Dept. of Commun. Eng., Tech. Univ. Munchen, Germany
  • fYear
    1997
  • fDate
    11-13 Aug 1997
  • Firstpage
    69
  • Lastpage
    72
  • Abstract
    A new algorithm for blind channel identification based on the super-exponential-algorithm (Shalvi and Weinstein, 1993) is introduced. Combining the impulse response of the equalizer with the channel impulse response leads to an iterative algorithm with fast convergence qualities and short block length on the assumption of independent, identically distributed (i.i.d.) data. The algorithm is robust with respect to system overfit (supernumerarily assumed channel coefficients converge to zero) and influence of additive white Gaussian noise even in mixed-phase moving average (MA) channels. Despite of the use of fourth order cumulants the complexity of the algorithm is rather simple compared with alternative blind methods. The implementation on a signal processor (TMS320C40) performs nearly in real-time under GSM conditions
  • Keywords
    Gaussian noise; cellular radio; computational complexity; convergence of numerical methods; equalisers; fading; higher order statistics; identification; iterative methods; signal processing; time-varying channels; transient response; white noise; GSM conditions; additive white Gaussian noise; blind channel identification; block length; channel impulse response; complexity; convergence; equalizer; fourth order cumulants; i.i.d. data; impulse response; independent identically distributed data; iterative algorithm; mixed-phase moving average channels; mobile radio fading channels; signal processor implementation; super-exponential-algorithm; supernumerarily assumed channel coefficients; system overfit; Blind equalizers; Convergence; Equations; Fading; Iterative algorithms; Land mobile radio; Mobile communication; Noise robustness; Signal processing algorithms; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications Conference, 1997., Proceedings
  • Conference_Location
    Boulder, CO
  • Print_ISBN
    0-7803-4194-5
  • Type

    conf

  • DOI
    10.1109/WCC.1997.622249
  • Filename
    622249