DocumentCode :
1898754
Title :
Less Faulty and Simpler Statistical Prediction of Sun-Synchronous Polar LEO Satellite Visions for Ground Stations
Author :
Modiri, Arezoo ; Mohammady, Leila ; Molanian, Nader
Author_Institution :
Iran Telecommun. Res. Center, Tehran
fYear :
2008
fDate :
8-13 June 2008
Firstpage :
386
Lastpage :
391
Abstract :
Remote sensing satellites can send almost complete images of whole earth surface in period of few days, if they are launched in sun-synchronous polar low orbits. The volume of daily received information can affect the predetermination of station location and the design of data archiving devices; that´s why this paper has focused on daily satellite visions by each station. The number of satellite daily passes over each ground station and the duration of these passes depend on the station position and satellite altitude. Although exact analytical relations have been introduced for predicting visions´ number and duration in literature, but they are too complicated; some simplified equations have also been introduced but some significant errors appears in results; these errors have been revealed and compared with the results of simpler statistical equations, in this paper in comparison with real statistical data.
Keywords :
remote sensing; satellite ground stations; daily satellite visions; data archiving devices; ground stations; remote sensing satellites; satellite altitude; station location; station position; statistical equations; sun-synchronous polar LEO satellite visions; Artificial satellites; Equations; Image analysis; Low earth orbit satellites; MATLAB; Mathematical model; Remote sensing; Satellite ground stations; Testing; Weather forecasting; LEO; Satellite visions; Sun-synchronous; latitude;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications, 2008. AICT '08. Fourth Advanced International Conference on
Conference_Location :
Athens
Print_ISBN :
978-0-7695-3162-5
Electronic_ISBN :
978-0-7695-3162-5
Type :
conf
DOI :
10.1109/AICT.2008.23
Filename :
4545561
Link To Document :
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