• DocumentCode
    1892168
  • Title

    Adaptive precoding in MIMO wireless communication systems using blind channel prediction over frequency selective fading channels

  • Author

    Castro, Paula M. ; Castedo, Luis ; Míguez, Joaquín

  • Author_Institution
    Dept. de Electronica y Sistemas, Univ. de A Coruna
  • fYear
    2005
  • fDate
    17-20 July 2005
  • Firstpage
    173
  • Lastpage
    178
  • Abstract
    This paper investigates the feasibility of Tomlinson-Harashima precoding when transmitting over multiple-antenna radio interfaces. In particular, we focus on the robustness of adaptive methods with respect to channel estimation errors. Two approaches are investigated to obtain predictions of the channel impulse response required to select the precoding parameters: Kalman filtering and particle filtering. Kalman filtering exhibits good performance but requires knowledge of the transmitted symbols in advanced. The particle filtering method considered in this work, on the other hand, is a blind technique that provides higher spectral efficiencies with a small loss in performance
  • Keywords
    MIMO systems; adaptive Kalman filters; adaptive codes; antenna arrays; channel estimation; fading channels; particle filtering (numerical methods); precoding; prediction theory; radiocommunication; transient response; wireless channels; Kalman filtering; MIMO wireless communication system; adaptive precoding; blind channel prediction; channel estimation error; channel impulse response; frequency selective fading channel; multiple input multiple output system; multiple-antenna radio interface; particle filtering; Channel estimation; Delay estimation; Fading; Filtering; Frequency; Intersymbol interference; Kalman filters; MIMO; Robustness; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
  • Conference_Location
    Novosibirsk
  • Print_ISBN
    0-7803-9403-8
  • Type

    conf

  • DOI
    10.1109/SSP.2005.1628586
  • Filename
    1628586