Predicting Orbital State Vector of Satellites Using Time-Series Neural Networks

Danial Boostan

Volume 11, Issue 3 , December 2018, , Pages 47-61

Abstract
  Prediction of satellite orbital position is a critical requirement for all satellite ground stations. In this paper, a new viewpoint for predicting orbital position of satellites is presented. In contrast to traditional methods which are based on Kepler's law, the proposed method, is solely based on ...  Read More

Satellite Orbit Prediction Through Observation Data and the Artificial Neural Networks

farshad shamlu; Abolghasem Naghash

Volume 10, Issue 2 , September 2017, , Pages 1-8

Abstract
  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 orbitalperturbations such as the Earth’s oblateness, atmospheric drag, third-body perturbationand the solar-radiation pressure. ...  Read More