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Journal of Intelligent Computing
 

Designing of Phase Advance of the Carrier Signals Using Intelligent Neural Networks
Zoran Stankovic, Ivan Milovanovic, Nebojsa Doncov, Maja Sarevska, Bratislav Milovanovic
Faculty of Electronic Engineering University of Nis, A. Medvedeva 14 18000 Nis., The Singidunum University DLS center Nis 18000 Nis., European University - Republic of Macedonia (EURM)
Abstract: To measure the phase advance of the carrier signal using intelligent neural networks is proposed that used a new model. To achieve this task, we have developed the system based on multilayer perceptron network. In this process, to find the near value of ions concentration, we have used the latitude of the observed receiving terminal and the present point in time. The obtained data enable the measurement of the phase advance of the carrier signal. This is done with the propagation through the ionosphere. The present model design helps the measurement of ionospheric carrier phase advance and it is tested in the target areas.
Keywords: EM Propagation, Ionosphere, Neural Networks, Neural Modelling Designing of Phase Advance of the Carrier Signals Using Intelligent Neural Networks
DOI:https://doi.org/10.6025/jic/2021/12/2/43-53
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