Designing of Phase Advance of the Carrier Signals Using Intelligent Neural Networks
Zoran Stankovic, Ivan Milovanovic, Nebojsa Doncov, Maja Sarevska, Bratislav Milovanovic
Journal of Intelligent Computing, Vol. 12, No. 2, 2021.
DOI: https://doi.org/10.6025/jic/2021/12/2/43-53
Link: https://www.dline.info/jic/fulltext/v12n2/jicv12n2_1.pdf
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.