• DocumentCode
    1748310
  • Title

    Space-time channel tracking for multipath fast-fading channels

  • Author

    Wang, Yeong-Cheng ; Chen, Jiunn-Tsair

  • Author_Institution
    Dept. of Manage. Inf. Syst., Van-Nung Inst. of Technol., Chung-Li, Taiwan
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    382
  • Abstract
    We use the parametric channel identification algorithm proposed by Chen, Kim and Liang (see IEEE Transactions on Vehicular Technology, p.1923-35, 1999) (to adaptively track the fast-fading channels for the multi-channel MLSE equalizer. The channel tracking scheme per-survivor processing recursive least square (PSP RLS) is considered. An analytic lower bound for the multi-channel MLSE equalizer in the time-varying specular multipath Rayleigh-fading channels is derived. Simulation results that illustrate the performance of the proposed algorithms are presented, and then these results are compared with the analytic BER lower bound and with the conventional MLSE equalizers directly tracking the FIR channel taps. The proposed algorithm is shown to perform significantly better than the conventional adaptive MLSE algorithm
  • Keywords
    Rayleigh channels; adaptive systems; cellular radio; equalisers; identification; least squares approximations; maximum likelihood sequence estimation; multipath channels; multiuser channels; recursive estimation; time division multiple access; time-varying channels; tracking; transient response; FIR channel taps tracking; GSM; PSP RLS; TDMA system; adaptive MLSE algorithm; adaptive channel tracking; algorithms performance; analytic BER lower bound; analytic lower bound; multi-channel MLSE equalizer; multichannel MLSE equalizer; multipath fast-fading channels; parametric channel identification algorithm; per-survivor processing recursive least square; simulation results; space-time channel tracking; time-varying specular Rayleigh fading; Algorithm design and analysis; Analytical models; Bit error rate; Equalizers; Finite impulse response filter; Least squares methods; Maximum likelihood estimation; Performance analysis; Rayleigh channels; Resonance light scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2001. ICC 2001. IEEE International Conference on
  • Conference_Location
    Helsinki
  • Print_ISBN
    0-7803-7097-1
  • Type

    conf

  • DOI
    10.1109/ICC.2001.936967
  • Filename
    936967