Title :
Estimation of radio refractivity profile gradient from multiple LOS links using artificial neural networks — First results
Author :
Jicha, Otakar ; Pechac, Pavel ; Kvicera, Vaclav ; Grabner, Martin
Author_Institution :
Dept. of Electromagn. Field, Czech Tech. Univ. in Prague, Prague, Czech Republic
Abstract :
The question of a vertical refractivity gradient estimation is discussed herein. Artificial neural networks have been used as a tool to verify the existence of an unambiguous relationship between the vertical refractivity gradient and the electromagnetic wave strength measured at multiple heights by three antennas with direct visibility on the transmitter (line-of-sight links). Specific results of the estimation are presented and compared with meteorological measurements.
Keywords :
electromagnetic wave refraction; microwave antennas; microwave propagation; neural nets; radio links; radio transmitters; radiofrequency measurement; refractive index; telecommunication computing; artificial neural networks; direct visibility; electromagnetic wave strength; line-of-sight link; meteorological measurement; multiple los links; radio refractivity profile gradient estimation; transmitter; vertical refractivity gradient estimation; Antenna measurements; Artificial neural networks; Atmospheric measurements; Diffraction; Estimation; Refractive index; Temperature measurement; atmospheric measurement; electromagnetic; neural networks; refraction;
Conference_Titel :
Antennas and Propagation (EUCAP), 2012 6th European Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0918-0
Electronic_ISBN :
978-1-4577-0919-7
DOI :
10.1109/EuCAP.2012.6206368
