• DocumentCode
    1511295
  • Title

    Physical statistical modelling of the land mobile satellite channel based on ray tracing

  • Author

    Oestges, C. ; Saunders, S.R. ; Vanhoenacker-Janvier, D.

  • Author_Institution
    Dept. of Microwaves, Univ. Catholique de Louvain, Belgium
  • Volume
    146
  • Issue
    1
  • fYear
    1999
  • fDate
    2/1/1999 12:00:00 AM
  • Firstpage
    45
  • Lastpage
    49
  • Abstract
    The paper presents a model of the land mobile satellite channel, predicting the statistical fade distribution in a given urban or suburban area described by objective data. The channel modelling is based on a conditional Rician distribution, whose parameters are related to physical parameters such as building height, street width, azimuth and elevation angles of the satellite link. Relationships between Rician and physical parameters are estimated by means of a ray-tracing method based on the uniform theory of diffraction, and statistically varying physical parameters are described by analytical distributions. The model is applied to a typical suburban area, and very good agreement is found between simulations of the fade distribution and radio measurements at L, S and X bands for two elevation angles
  • Keywords
    Rician channels; UHF radio propagation; geometrical theory of diffraction; land mobile radio; microwave propagation; mobile satellite communication; personal communication networks; ray tracing; statistical analysis; L band; S band; X band; analytical distributions; azimuth angle; building height; channel modelling; conditional Rician distribution; elevation angle; land mobile satellite channel; objective data; personal communications; physical parameters; physical statistical modelling; radio measurements; ray tracing; ray-tracing method; satellite link; statistical fade distribution; street width; suburban area; uniform theory of diffraction; urban area;
  • fLanguage
    English
  • Journal_Title
    Microwaves, Antennas and Propagation, IEE Proceedings
  • Publisher
    iet
  • ISSN
    1350-2417
  • Type

    jour

  • DOI
    10.1049/ip-map:19990144
  • Filename
    766549