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 ...
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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 past observation of a given satellite. In contrast to traditional algorithms which have neglected some of the orbital perturbations, the most important feature of this method is considering all orbital perturbations by using real data. TLEs (Two Line Element sets) are the most available real data and are used in this research as the main data source. Using the capability of neural networks for time series prediction over available data, results in a fast and accurate orbital position predictor. The comparison between the output of our proposed method, SPG4 (Simplified General Perturbation version 4) propagator and real orbital position of a given satellite, shows the effectiveness of this algorithm.
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. ...
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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. All these perturbations are modeled and are includedseparately in the equation. However, this paper offers a new view of the prediction whichsuggests the use of artificial neural networks and observation data. The advantage of thismethod is based on the usage of observation data, so that all disturbances are taken intoaccount and there is no need to use perturbation models. For this reason, the use of theTLE as the most reachable actual data is considered. Comparison of the output of thismethod with actual data shows the accuracy of the proposed method which is very high.
M. Nasirian; S. ghaemi Sardroodi
Volume 8, Issue 2 , July 2015, , Pages 57-65
Abstract
In this paper a new method for satellite authomatic tracking presented by earth station via doppler frequency . This method done by calculating time diviation through difference between real dopper frequency by communication equipment and software Doppler frequency by theoretical TLE via ...
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In this paper a new method for satellite authomatic tracking presented by earth station via doppler frequency . This method done by calculating time diviation through difference between real dopper frequency by communication equipment and software Doppler frequency by theoretical TLE via STK Software. Then Kepler parameters are chaned so this deviation limit to zero. By this action correct antenna direction to satellite and receiving signal without error. Method test was done by amature satellite in UHF frequency band & CW Modulaition.Â
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 ...
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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 position prediction of satellites. The advantage of this method is based on usage of actual data, so all disturbances are taken into account. For this reason use of TLE as the most reachable actual data is considered. Compariosion of output of this method with actual data, proofs the accuracy of proposed method.
H. Bolandi; M. H. Ashtari; M. Nadi; M. Esmaeelzade
Volume 6, Issue 2 , July 2013, , Pages 29-42
Abstract
In this article by analyzing the TLE data of Navid satellite from IranUniversityofScienceand Technology the effects of these data on tracking operation of ground station has been studied. Then the prediction accuracy of satellite position, the error rate of antenna ground station, the error rate of satellite ...
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In this article by analyzing the TLE data of Navid satellite from IranUniversityofScienceand Technology the effects of these data on tracking operation of ground station has been studied. Then the prediction accuracy of satellite position, the error rate of antenna ground station, the error rate of satellite rise time and the sensitivity survey of these toward the variation of drag term () of TLE data has been investigated. The results show that the accuracy of TLE data, the intervals of updating them and the time elapsed the epoch related to TLE data directly effected on accuracy prediction of thesatellite position and atracking operation. In some cases such as the limitation of ground antenna beam, tracking satellite is not succeeded. Therefore it has been suggested that tracking operation of satellite is done by ground station and independent of the TLE data and using TLE data as a reserve state has been considered. In this case TLE data must be updated daily.
