• DocumentCode
    1894398
  • Title

    A New Trend Prediction Algorithm for Satellites and Applications

  • Author

    Guo Xiao-hong ; Hou Li-qiang ; Li Heng-nian ; Xu Xiao-hui

  • Author_Institution
    Satellite Control Center, Xi´an, China
  • Volume
    1
  • fYear
    2012
  • fDate
    23-25 March 2012
  • Firstpage
    65
  • Lastpage
    69
  • Abstract
    Satellite telemetry parameters are the basis of judging whether satellites are in order or not. And parameters´ trend prediction is the precondition to predict the condition of the satellites. Aiming at the need of getting data trend in the project, the comparability of parameters and metabolism was put forward to improve precision of prediction, as well as to build a new prediction model which was adopted to calculate the trend. Through resembling using the data from project practice, new idea is valid and dependable.
  • Keywords
    satellite telemetry; data trend; metabolism; project practice; satellite telemetry parameters; trend prediction algorithm; Data models; Equations; Mathematical model; Numerical models; Predictive models; Satellites; Telemetry; comparability; metabolism; trend prediction; validity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-0689-8
  • Type

    conf

  • DOI
    10.1109/ICCSEE.2012.114
  • Filename
    6187829