• DocumentCode
    691498
  • Title

    An Algorithm Research of Ground-Space Integrated Scheduling TT&C Resources of Orbit Determination of GNSS Constellation

  • Author

    Zhang Tianjiao ; Li Jing ; Li Zexi ; Xiang Ming

  • Author_Institution
    Nat. Lab. of Astronaut. Dynamics, Xi´an, China
  • fYear
    2013
  • fDate
    6-7 Nov. 2013
  • Firstpage
    69
  • Lastpage
    73
  • Abstract
    Space-based TT&C technology is an effective way to solve the problem of resources dissatisfaction of ground-based TT&C system. Based on the research of multi-satellites TT&C resources scheduling problem, this article proposes a normalized description for all types of resources which suitable for scheduling algorithm design; For the orbit determination tasks of satellites of GNSS `Beidou II´, this article analyzes the constraints of this particular TT&C mode, and takes weighted TT&C time of satellite orbit determination tasks as target to establish space-ground integrated TT&C network scheduling model, then designs a scheduling algorithm based on concurrent ACO(ant colony algorithm). Simulation results show that, this scheduling strategy can effectively improve the determination tasks allocation efficiency, thus reducing the dependence of ground-based TT&C network.
  • Keywords
    aerospace computing; ant colony optimisation; satellite navigation; GNSS constellation; ant colony algorithm; concurrent ACO; ground-space integrated scheduling TT&C resources; multi-satellite TT&C resources scheduling problem; satellite orbit determination tasks; Algorithm design and analysis; Job shop scheduling; Mathematical model; Orbits; Satellites; Space vehicles; Inverters; Isolation of polynomial´s real roots; Newtons identities; SHE;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Engineering Applications, 2013 Fourth International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-1-4799-2791-3
  • Type

    conf

  • DOI
    10.1109/ISDEA.2013.422
  • Filename
    6843399