• DocumentCode
    1747677
  • Title

    Fade depth prediction on wireless microwave links using two-ray multipath model

  • Author

    Loyka, S. ; Kouki, A. ; Gagnon, F.

  • Author_Institution
    Dept. of Electr. Eng., Ecole de Technol. Eng., Montreal, Que., Canada
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    493
  • Abstract
    Fade depth prediction for airborne communication links is considered in this paper. There is no fading model for this specific scenario at the moment. The two closest models are the Olsen-Segal model for terrestrial links and the ITU-R model for satellite links. However, they cannot be directly applied to the airborne scenario. We propose a two-ray multipath fading model adapted to a realistic scenario of hilly or mountainous terrain, which applies to elevations angles higher than 2° and frequencies lower than 10 GHz, when the contribution of ground multipath component is dominant. It is interesting to note that the two-ray model predicts roughly the same fade depth dependence on the path clearance angle as the Olsen-Segal model, which may be considered as a theoretical justification, as to the best of our knowledge- for the first time, of the path elevation angle factor in that model. We further propose a hybrid approach to account for the atmospheric contribution to the total fade depth
  • Keywords
    aircraft communication; fading channels; microwave links; multipath channels; Olsen-Segal model; airborne communication links; atmospheric contribution; elevations angles; fade depth dependence; fade depth prediction; hilly terrain; mountainous terrain; path clearance angle; two-ray multipath model; wireless microwave links; Antennas and propagation; Atmospheric modeling; Fading; Log periodic antennas; Microwave communication; Predictive models; Propagation losses; Receiving antennas; Satellite ground stations; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2001. Canadian Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-6715-4
  • Type

    conf

  • DOI
    10.1109/CCECE.2001.933733
  • Filename
    933733