• DocumentCode
    1581249
  • Title

    Pilot-Based Channel Estimation in Spatially Correlated MIMO Systems

  • Author

    Dadkhah, M.R. ; Doost-hosseini, A.M. ; Sharifian, A.R. ; Ahmadi, B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, the problem of channel estimation in spatially correlated multi-input multi-output (MIMO) channel is investigated. We consider minimum mean square error (MMSE) criterion which requires accurate knowledge about second order statistics of the channel and noise. In our method, the output of the least square estimator is exploited to estimate the channel correlation matrix and noise variance using the same training sequences. Advantages of this method over methods that ignore correlation among sub-channels will be demonstrated in the sense of mean square of estimation error and bit-error rate.
  • Keywords
    MIMO communication; channel estimation; correlation methods; error statistics; least mean squares methods; matrix algebra; sequences; MMSE; bit-error rate; channel correlation matrix; minimum mean square error estimation; multi input multi output channel; pilot-based channel estimation; second order statistics; spatially correlated MIMO system; Channel estimation; Error analysis; Estimation error; Least squares approximation; MIMO; Matrix decomposition; Mean square error methods; Parameter estimation; Scattering; Transmitters; Channel correlation matrix; MIMO channels; Mean Square Error; Training sequances;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on
  • Conference_Location
    Damascus
  • Print_ISBN
    978-1-4244-1751-3
  • Electronic_ISBN
    978-1-4244-1752-0
  • Type

    conf

  • DOI
    10.1109/ICTTA.2008.4530223
  • Filename
    4530223