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
Link To Document :
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