Evaluation of radio propagation parameters for field strength prediction using neural network

Author

Monteiro, Bruno ; Cavalcante, Gervásio P S ; Gomes, Hermínio S. ; Rosário, Danileno M. ; Lima, F.F. ; Junior, H.A.

Author_Institution

Fed. Univ. of Para, Belem

fYear

2007

fDate

Oct. 29 2007-Nov. 1 2007

Firstpage

888

Lastpage

892

Abstract

This work utilizes artificial neural network to determine the electrical characteristics of the ground. This neural simulator is trained through the field strength of the surface wave, using the smooth spherical earth propagation method equations. To obtain the electric parameters of the ground, a campaign of measurements of the received electric field strength was carried out in around of Brasilia city. A radio station transmitter was used operating in medium wave (MW). The results of the electric parameters of the ground were found as: 4.23 mS/m for conductivity and 15 for relative permittivity. These results allows to conclude that the electrical characteristics of the ground described in the ITU-R P. 832-2 Recommendation, "World Atlas of Ground Conductivities" cannot translate the reality for the area studied in Brasilia.

Keywords

digital radio; electric field measurement; electric strength; electrical conductivity; neural nets; radio transmitters; radiowave propagation; telecommunication computing; artificial neural network; conductivity; digital radio; electric field strength; electrical characteristics; field strength prediction; medium wave; neural simulator; permittivity; radio propagation parameter; radio station transmitter; smooth spherical earth propagation; surface wave; Artificial neural networks; Conductivity; Earth; Electric variables; Electric variables measurement; Equations; Neural networks; Permittivity measurement; Radio propagation; Surface waves; Artificial Neural Network; Digital Radio; ITU-R P.832-2 Recommendation; ITUR P.368-7 Recommendation; surface wave;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave and Optoelectronics Conference, 2007. IMOC 2007. SBMO/IEEE MTT-S International

Conference_Location

Brazil

Print_ISBN

978-1-4244-0661-6

Electronic_ISBN

978-1-4244-0661-6

Type

conf

DOI

10.1109/IMOC.2007.4404399

Filename

4404399