• DocumentCode
    1218416
  • Title

    Genetic algorithm application to efficient utilization of the GSO

  • Author

    Hatsuda, Takeshi ; Yoneta, Sadayoshi

  • Author_Institution
    Hokkaido Inst. of Technol., Sapporo, Japan
  • Volume
    40
  • Issue
    4
  • fYear
    2004
  • Firstpage
    1217
  • Lastpage
    1227
  • Abstract
    Utilization of the geostationary satellite orbit (GSO) has reached full capacity in orbital arcs at certain longitudes. A variety of proposals and regulations have already been established to increase the number of possible satellite positions. The optimum satellite arrangement carried out by considering the geographical distribution of service areas is an effective strategy for efficient utilization of the GSO. The genetic algorithm (GA) method is applied here to optimize the satellite arrangement. Initially, an example of the optimum arrangement of eight satellites is demonstrated by using the GA method to ensure accuracy of the newly developed program. Subsequently, a multiple beam satellite system concept is introduced to further improve the efficient utilization of the GSO. Finally, 80 satellites (40 service areas) in the ITU Region 1 example is solved using the GA method, resulting in a quasi-optimum satellite arrangement solution. By using the GA method, the quasi-optimum solution can be obtained by very short (e.g., several ten seconds) calculation times.
  • Keywords
    genetic algorithms; satellite communication; ITU Region 1; genetic algorithm application; geographical distribution; geostationary satellite orbit; multiple beam satellite system; optimum satellite arrangement; orbital arcs; satellite positions; service areas; Costs; Electronic mail; Genetic algorithms; Information technology; Interference; Neural networks; Optimization methods; Proposals; Region 1; Satellite communication;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.2004.1386875
  • Filename
    1386875