• 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