• DocumentCode
    981989
  • Title

    Spatio-temporal rain attenuation model for application to fade mitigation techniques

  • Author

    Grémont, Boris Christian ; Filip, Miodrag

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Univ. of Portsmouth, UK
  • Volume
    52
  • Issue
    5
  • fYear
    2004
  • fDate
    5/1/2004 12:00:00 AM
  • Firstpage
    1245
  • Lastpage
    1256
  • Abstract
    We present a new stochastic-dynamic model useful for the planning and design of gigahertz satellite communications using fade mitigation techniques. It is a generalization of the Maseng-Bakken and targets dual-site dual-frequency rain attenuated satellite links. The outcome is a consistent and comprehensive model capable of yielding theoretical descriptions of: 1) long-term power spectral density of rain attenuation; 2) rain fade slope; 3) rain frequency scaling factor; 4) site diversity; and 5) fade duration statistics using a novel method based on Markov Chains. We also present a simple rain attenuation synthesizer matching the predictions of the theoretical model.
  • Keywords
    Markov processes; correlation methods; rain; satellite links; scaling phenomena; spatiotemporal phenomena; tropospheric electromagnetic wave propagation; Markov chains; Maseng-Bakken; cross correlation function; fade duration statistics; fade mitigation techniques; gigahertz satellite communications; power spectral density; rain attenuation synthesizer; rain fade slope; rain frequency scaling factor; spatio-temporal model; stochastic-dynamic model; targets dual-site dual-frequency rain attenuated satellite links; Adaptive systems; Attenuation; Communication systems; Frequency diversity; Predictive models; Quality of service; Rain fading; Satellite communication; Statistics; Synthesizers; Diversity; dynamic; propagation; rain; statistics;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2004.827501
  • Filename
    1296833