• DocumentCode
    3188212
  • Title

    A MIMO parameter estimation model taking Ricean fading channel and stochastically uncorrelated signals into account. Part I. Inherent accuracy limitations

  • Author

    Sieskul, Bamrung Tau ; Jitapunkul, Somchai

  • Author_Institution
    Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand
  • fYear
    2005
  • fDate
    16-18 May 2005
  • Firstpage
    293
  • Lastpage
    298
  • Abstract
    In this paper, a MIMO channel model accounted for Ricean fading and stochastically uncorrelated signals is proposed for the problem of estimating three important parameters of wireless channel, such as the nominal direction, the angular spread and the Ricean factor. Although such a problem formulation captures so many physical scattering features into a parametric channel model, we elaborate the second-order statistic in such a way that the array covariance matrix depends on five parameters. To inspect the achievable performance of parameter estimation, we derive all necessary derivatives of complex gradient matrix to compute the inherent accuracy limitation based on the Cramer-Rao bound. Herein, the estimation possibility and theoretical analysis are pictorially illustrated and therefore able to reflect various relationships.
  • Keywords
    MIMO systems; Rician channels; antenna arrays; channel estimation; correlation theory; covariance matrices; higher order statistics; parameter estimation; stochastic processes; Cramer-Rao bound; MIMO channel model; Ricean fading; array covariance matrix; multiple input multiple output; parameter estimation; second-order statistic; stochastic uncorrelated signal; wireless channel; Fading; MIMO; Parameter estimation; Parametric statistics; Rayleigh channels; Rayleigh scattering; Scattering parameters; Sensor arrays; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Networks and Services Research Conference, 2005. Proceedings of the 3rd Annual
  • Print_ISBN
    0-7695-2333-1
  • Type

    conf

  • DOI
    10.1109/CNSR.2005.11
  • Filename
    1429983