• DocumentCode
    1599675
  • Title

    Predicting field strength with a neural ray-tracing model

  • Author

    Rossi, J.-P.

  • Volume
    2
  • fYear
    1996
  • Firstpage
    1167
  • Abstract
    A model of the field strength prediction for a mobile phone environment is presented. Ray tracing techniques are used to simulate the propagation of radio waves in a geometrical urban environment composed of terrain, buildings, and vegetation. The use of neural networks gives a correction of biases generated by the unknown properties of the environment and the algorithmic simplifications. We expect this model to overcome some of the limitations inherent in both empirical and theoretical models: respectively, the inability to adapt to non-classical situations, and exponential computation times. Comparisons with measurements give good results in several French cities with different frequencies
  • Keywords
    UHF radio propagation; building; cellular radio; electromagnetic wave diffraction; field strength measurement; land mobile radio; multilayer perceptrons; ray tracing; telecommunication computing; French cities; GSM; UHF radiowave propagation; algorithmic simplifications; bias correction; buildings; diffraction; empirical models; exponential computation times; field strength prediction; geometrical urban environment; measurements; mobile phone environment; multilayer perceptron; ray tracing techniques; terrain; theoretical models; vegetation; Frequency; Mobile antennas; Optical reflection; Optical surface waves; Predictive models; Ray tracing; Rough surfaces; Surface roughness; Surface waves; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity
  • Conference_Location
    London
  • Print_ISBN
    0-7803-3336-5
  • Type

    conf

  • DOI
    10.1109/GLOCOM.1996.587621
  • Filename
    587621