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

fYear

2012

fDate

26-30 March 2012

Firstpage

1174

Lastpage

1177

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/EuCAP.2012.6206368

Filename

6206368