• DocumentCode
    3391042
  • Title

    Building empirical models of satellite-mobile channels

  • Author

    Pourmir, M. ; Beffani, A. ; Husson, L. ; Dany, J.-C.

  • Author_Institution
    SUPELEC, Gif-sur-Yvette, France
  • Volume
    4
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2990
  • Abstract
    We describe here an approach to the problem of generating random signals that adequately simulate fluctuations of the power received on Earth from satellites. Our method is empirical in the following sense: rather than postulate a priori probability laws for the instantaneous received power, we try to estimate these laws by processing available experimental signals from the considered channel. The same procedure allows us to extract dynamical (Markov) state models corresponding to the temporal variation of the power distribution law in urban or sub-urban channels. The method is general as it can be applied to various types of signals with a Markovian underlying variability
  • Keywords
    Markov processes; mobile satellite communication; probability; telecommunication channels; Markov models; a priori probability laws; dynamical state models; empirical models; instantaneous received power; power distribution law; random signals generation; satellite-mobile channels; signal analysis; state identification; state transition matrix; suburban channels; temporal variation; urban channels; Earth; Fluctuations; Hidden Markov models; Numerical models; Power generation; Probability density function; Signal analysis; Signal generators; Signal processing; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2001. VTC 2001 Spring. IEEE VTS 53rd
  • Conference_Location
    Rhodes
  • ISSN
    1090-3038
  • Print_ISBN
    0-7803-6728-6
  • Type

    conf

  • DOI
    10.1109/VETECS.2001.944151
  • Filename
    944151