Facta universitatis - series: Electronics and Energetics 2019 Volume 32, Issue 2, Pages: 287-302
https://doi.org/10.2298/FUEE1902287S
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Prediction of the EM signal delay in the ionosphere using neural model
Stanković Zoran (University of Niš, Faculty of Electronic Engineering, Niš, Serbia)
Dončov Nebojša (University of Niš, Faculty of Electronic Engineering, Niš, Serbia)
Neural model capable to accurately and efficiently predict a propagation
delay of electromagnetic signal in the ionosphere is proposed in this paper.
The model performs this prediction for a given geographic location in Europe
between 40°(N) and 70°(N) latitude and 10°(W) and 30°(E) longitude,
according to the following parameters: particular day in a year, time during
the day and frequency of a signal carrier. Architecture of the model
consists of four multilayer perceptron (MLP) networks with the task to
estimate, for the known values of the previously mentioned input parameters
of the model, the approximate value of free ions concentration in the
atmosphere along the signal propagation path above the geographic location
of the receiver. Based on the estimated ions concentration and taking into
account the considered frequency of the signal carrier, the model calculates
the time delay of signal propagation in the ionosphere. The developed neural
model is applicable on the whole territory of Republic of Serbia, for all
four weather seasons in the period of low solar activity. The results of
using the proposed model for the prediction of time delay of the GPS (Global
Positioning System) signal in the area of city of Niš are provided in the
paper.
Keywords: neural networks, neural model, ionosphere, total electron content, signal delay estimation, global positioning system
Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. TR-32024