DocumentCode :
629832
Title :
The nodal regression simulation for low Earth Sun synchronized orbits
Author :
Cakaj, Shkelzen ; Kamo, Bexhet ; Malaric, Kresimir
Author_Institution :
Fac. of Electr. & Comput. Eng., Univ. of Prishtina, Kosovo, Albania
fYear :
2013
fDate :
26-28 June 2013
Firstpage :
59
Lastpage :
64
Abstract :
LEO (Low Earth Orbit) environmental satellites provide continuous coverage of Earth, supplying high-resolution meteorological and oceanic observation data. These satellites accomplish their missions based on photo imagery. For photo imagery, it is important the observed area from the satellite to be treated under the same lighting conditions. This can be achieved by keeping a constant Sun position related to the orbital plane due to the Earth´s motion around the Sun, defined as orbital Sun synchronization. The line of nodes defines the orientation of the satellite´s orbital plane in space. Nodal regression refers to the shift of the orbit´s line of nodes over time as Earth revolves around the Sun. The nodal regression is caused because of the Earth´s oblate nature. Nodal regression is useful feature which is especially utilized for low circular orbits providing to them the Sun synchronization. The nodal regression depending on orbital attitude and orbital inclination angle is simulated for different low Earth orbit attitudes. In addition, the inclination window determination for Sun synchronization is provided through this paper.
Keywords :
artificial satellites; regression analysis; synchronisation; LEO environmental satellite; high-resolution meteorological data; inclination window determination; low earth sun synchronized orbit; nodal regression simulation; oceanic observation data; orbital sun synchronization; photo imagery; Earth; Low earth orbit satellites; Orbits; Space vehicles; Sun; Synchronization; LEO; inclination; satellite; sun-synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications (ConTEL), 2013 12th International Conference on
Conference_Location :
Zagreb
Print_ISBN :
978-1-4673-5984-9
Type :
conf
Filename :
6578271
Link To Document :
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