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

Intelligent Satellite Orbit Prediction Based on Time Series Analysis

D. Bustan; N. Pariz; S. K. HosseiniSani

Volume 7, Issue 3 , October 2014, , Pages 43-49

Abstract
  In this paper, a new approach for orbital position prediction of satellites, is introduced. As traditional methods are based on keplerian equations of motion, orbital disturbances are uasualy neglected for simplicity. This paper, suggests artificial intelligent time series peridiction methods for orbital ...  Read More