• DocumentCode
    1157934
  • Title

    A statistical model for land mobile satellite channels and its application to nongeostationary orbit systems

  • Author

    Corazza, Giovanni E. ; Vatalaro, Francesco

  • Author_Institution
    Dipartimento di Ingegneria Elettronica, Rome Univ., Italy
  • Volume
    43
  • Issue
    3
  • fYear
    1994
  • fDate
    8/1/1994 12:00:00 AM
  • Firstpage
    738
  • Lastpage
    742
  • Abstract
    The paper introduces a statistical channel model which is a combination of Rice and lognormal statistics, and is suitable in principle to all types of environment (rural, suburban, urban) simply by tuning the model parameters. The model validity is confirmed by comparisons with measurement data collected in the literature. Empirical formulas are derived for the model parameters to fit measured data over a wide range of elevation angles. In particular, the model is applied to nongeostationary satellite channels, such as low-Earth orbit and medium-Earth orbit channels, in which for a given user located in a generic site the elevation angle changes continuously. Finally, examples of average bit error probability evaluations in the channel are provided
  • Keywords
    error statistics; mobile radio systems; radiowave propagation; satellite relay systems; telecommunication channels; Rice statistics; average bit error probability evaluation; elevation angles; land mobile satellite channels; lognormal statistics; low-Earth orbit channels; medium-Earth orbit channels; nongeostationary orbit systems; nongeostationary satellite channels; statistical channel model; statistical model; Artificial satellites; Error probability; Extraterrestrial measurements; Fading; Least squares approximation; Low earth orbit satellites; Predictive models; Shadow mapping; Solid modeling; Statistics;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/25.312773
  • Filename
    312773