• DocumentCode
    1122009
  • Title

    Propagation Over Clutter: Physical Stochastic Model

  • Author

    Chizhik, Dmitry ; Ling, Jonathan

  • Author_Institution
    Alcatel-Lucent, Holmdel
  • Volume
    56
  • Issue
    4
  • fYear
    2008
  • fDate
    4/1/2008 12:00:00 AM
  • Firstpage
    1071
  • Lastpage
    1077
  • Abstract
    Propagation of radio signals from a base above clutter, such as buildings and trees, to a mobile immersed in clutter is treated theoretically by accounting for random diffuse scattering at the mobile. Small-scale fading and distance-dependent loss are treated in a unified way, as opposed to the heuristic methodologies, which formulate them as separate factors. Closed form expressions are derived for path gain and for angular spectrum at the base in both urban and heavily foliated environments. The resulting predictions are in close agreement with widely accepted models and empirical results. The angular spectrum at the base in urban environments is found to be Lorentzian of width close to that reported for measurements in Aarhus. In foliated environments, vegetation is represented as statistically homogeneous diffuse scattering medium, resulting in a Gaussian-shaped angular spectrum at the base.
  • Keywords
    Gaussian processes; clutter; electromagnetic wave scattering; fading; mobile radio; radiowave propagation; Gaussian-shaped angular spectrum; closed form expressions; clutter; distance-dependent loss; mobile communication; radio signal propagation; random diffuse scattering; small-scale fading; statistically homogeneous diffuse scattering medium; stochastic model; Base stations; Clutter; Diffraction; Fading; Large-scale systems; Polarization; Predictive models; Propagation losses; Rayleigh scattering; Stochastic processes; Angle spread; radio propagation;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2008.919163
  • Filename
    4483580