• DocumentCode
    2290906
  • Title

    Optimal Turbo-Blast Detection of MIMO-OFDM Systems with Imperfect Channel Estimation

  • Author

    Sadough, Sajad ; Khalighi, Mohammad Ali

  • Author_Institution
    ENSTA - CNRS/LSS, Paris
  • fYear
    2007
  • fDate
    3-7 Sept. 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Under imperfect channel estimation, we propose an improved iterative detector for multiple-input multiple-output (MIMO) systems employing the simple spatial multiplexing or V-BLAST space-time scheme and orthogonal frequency-division multiplexing (OFDM). The detector is based on soft interference cancellation and linear minimum mean-square error filtering which takes into account the error on channel estimation. Numerical results, presented for the case of Rayleigh block fading, demonstrate that our proposed detector can achieve significant performance improvement compared to the classically-used mismatched detector. This improvement is obtained with almost no increase in the receiver complexity.
  • Keywords
    MIMO communication; OFDM modulation; Rayleigh channels; channel estimation; interference (signal); mean square error methods; multiplexing; turbo codes; MIMO-OFDM system; Rayleigh block fading; V-BLAST space-time scheme; channel estimation; iterative detector; linear minimum mean-square error filtering; multiple-input multiple-output system; optimal turbo-blast detection; orthogonal frequency-division multiplexing; soft interference cancellation; spatial multiplexing; Bayesian methods; Channel coding; Channel estimation; Detectors; Frequency division multiplexing; MIMO; Nonlinear filters; OFDM; Signal detection; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4244-1144-3
  • Electronic_ISBN
    978-1-4244-1144-3
  • Type

    conf

  • DOI
    10.1109/PIMRC.2007.4394115
  • Filename
    4394115