• DocumentCode
    1714709
  • Title

    The quest for optimal spacecraft attitude determination filtering algorithm using GNSS phase measurements: An overview

  • Author

    Abbas, Naqvi Najam ; Jun, Li Yan

  • Author_Institution
    Sch. of Astronaut., Northwestern Polytech. Univ., Xian, China
  • Volume
    2
  • fYear
    2010
  • Abstract
    This paper overviews the estimation algorithms related with the problem of Attitude Determination (AD) of a Low Earth Orbit (LEO) satellite using carrier phase based measurements of the Global Navigation Satellite Systems (GNSS). In the past three decades, this problem has been addressed overwhelmingly and many solutions and schemes have not only been devised but also been implemented on real space missions. Many space based GPS receivers have been designed, tested and patented also. The problem involves two basic algorithms; Ambiguity Resolution (AR) and the Attitude Determination / Estimation Algorithms. Researchers have developed and employed different schemes and algorithms in this context but the quest for the computational efficient algorithms and the integration of both the optimal algorithms is still an active area of research for the GNSS researchers.
  • Keywords
    Global Positioning System; Kalman filters; attitude measurement; filtering theory; satellite navigation; GNSS phase measurements; Kalman filtering; ambiguity resolution; estimation algorithms; global navigation satellite systems; low Earth orbit satellite; optimal spacecraft attitude determination filtering algorithm; Estimation; Global Navigation Satellite Systems; Global Positioning System; Position measurement; Receivers; Signal processing algorithms; Space vehicles; Ambiguity Resolution; Attitude Determination; Estimation Techniques; GNSS; GPS; Kalman Filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (ICSPS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-6892-8
  • Electronic_ISBN
    978-1-4244-6893-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2010.5555501
  • Filename
    5555501