• DocumentCode
    2428329
  • Title

    Fast prediction of scattering in mountainous terrain using commonly visible surfaces

  • Author

    Xiao, Alexander H. ; Bertoni, Henry L. ; Chrysanthou, Chrysanthos ; Boksiner, Jeffrey

  • Author_Institution
    Wireless Internet Center for Adv. Technol., Polytech. Inst. of New York Univ., Brooklyn, OH, USA
  • fYear
    2010
  • fDate
    12-14 April 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper discusses a computer program for deterministic prediction of radio wave scattering in hilly and mountainous terrain using a DTED terrain database. A fast and accurate visibility algorithm with a linear computational complexity and little RAM requirement is invented to find the terrain elements that are commonly visible to both ends of the communication links. Comparing with the vertical plane contribution predicted by the TIREM model, we find that in about 1/3 of the cases the terrain scattering contribution is more significant than the vertical plane contribution in a typical mountainous terrain. We also find milliseconds computation times per link can be achieved on a personal computer for large maps by pre-computing macro-visibility. Computation that finds visibility on-the-fly takes 6 times longer.
  • Keywords
    radio links; radiowave propagation; DTED terrain database; commonly visible surface; linear computational complexity; macro-visibility; mountainous terrain; radio wave scattering prediciton; terrain scattering; Ad hoc networks; Computer vision; Diffraction; Frequency; Level measurement; Mobile communication; Rough surfaces; Scattering; Surface roughness; Terrain mapping; TIREM; deterministic; generalized Lambert´s Law; mountainous; path gain; prediction; rough; scattering; terrain; viewshed; visibility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sarnoff Symposium, 2010 IEEE
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-5592-8
  • Type

    conf

  • DOI
    10.1109/SARNOF.2010.5469711
  • Filename
    5469711