• DocumentCode
    1335584
  • Title

    Prediction of monthly and annual availabilities on 10-50 GHz satellite-Earth and aircraft-to-aircraft links

  • Author

    Konefal, T. ; Watson, P.A. ; Shukla, A K ; Akram, A.

  • Author_Institution
    Dept. of Electron., York Univ., UK
  • Volume
    147
  • Issue
    2
  • fYear
    2000
  • fDate
    4/1/2000 12:00:00 AM
  • Firstpage
    122
  • Lastpage
    127
  • Abstract
    A method is described which enables monthly predictions to be made for the attenuation statistics of radio links in the frequency range 10-50 GHz, using data available in global meteorological databases. The method is applicable to satellite-Earth, aircraft-Earth and aircraft-aircraft links, and can cover a wide range of availabilities (90% to 99.99%,). Examples of monthly predictions are given for a range of climates in the European region. The method includes models for the effects of clouds and gaseous absorption, which are particularly important for the 30 to 50 GHz range at for low availabilities. Although experimental data at 30-50 GHz with acceptably long record length are relatively few, predicted monthly statistics can be integrated to give annual statistics and comparisons with such data illustrate the success of the approach
  • Keywords
    aircraft communication; clouds; electromagnetic wave absorption; microwave propagation; millimetre wave propagation; rain; satellite links; statistical analysis; tropospheric electromagnetic wave propagation; 30 to 50 GHz; EHF; European region; SHF; aircraft-Earth link; aircraft-to-aircraft links; annual availability prediction; annual statistics; attenuation statistics; climates; clouds; experimental data; frequency range; gaseous absorption; global meteorological databases; long record length; monthly availability prediction; predicted monthly statistics; radio links; rain attenuation; satellite-Earth links; water vapour;
  • fLanguage
    English
  • Journal_Title
    Microwaves, Antennas and Propagation, IEE Proceedings
  • Publisher
    iet
  • ISSN
    1350-2417
  • Type

    jour

  • DOI
    10.1049/ip-map:20000096
  • Filename
    842173