عنوان مقاله [English]
In this study, a different approach to the prediction of satellite position is introduced.
All methods are based on the Kepler’s laws of planetary motion and the orbital
perturbations such as the Earth’s oblateness, atmospheric drag, third-body perturbation
and the solar-radiation pressure. All these perturbations are modeled and are included
separately in the equation. However, this paper offers a new view of the prediction which
suggests the use of artificial neural networks and observation data. The advantage of this
method is based on the usage of observation data, so that all disturbances are taken into
account and there is no need to use perturbation models. For this reason, the use of the
TLE as the most reachable actual data is considered. Comparison of the output of this
method with actual data shows the accuracy of the proposed method which is very high.