• DocumentCode
    3629846
  • Title

    Maximum Likelihood Method for MIMO Mobile-to-Mobile Channel Parameter Estimation

  • Author

    Alenka G. Zajic;Gordon L. Stuber

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A three-dimensional reference model for wideband multiple-input multiple-output mobile-to-mobile channels is reviewed. To allow comparison between the proposed model and measured data, a new maximum likelihood based stochastic estimator is derived. The proposed estimator extracts the relevant model parameters from the measured data. The performance of the new estimator is evaluated by deriving the Cramer-Rao lower bound (CRLB) and by comparing the mean square error of the parameter estimates to the CRLB. Simulation results show that the proposed estimator has an asymptotically optimal performance, since it reaches the CRLB for a small number of samples.
  • Keywords
    "Maximum likelihood estimation","MIMO","Parameter estimation","Stochastic processes","Wideband","Distribution functions","Mean square error methods","Fading","Azimuth","Data mining"
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-2324-8
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2008.ECP.761
  • Filename
    4698536