• DocumentCode
    358174
  • Title

    Satellite orbit determination using a magnetometer-based bootstrap filter

  • Author

    Kim, Soohong ; Chun, Joohwan

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    792
  • Abstract
    A Bayesian bootstrap filtering approach is applied to the low Earth orbit (LEO) satellite orbit determination problem. The filter uses the magnitude of the magnetic field vector as measurements. Simulation results for the bootstrap filter demonstrate our algorithm rapidly converges to the true orbital parameters even in the presence of large initial position errors
  • Keywords
    Bayes methods; artificial satellites; filtering theory; magnetic field measurement; magnetometers; probability; Bayesian bootstrap filtering approach; low Earth orbit; magnetometer-based bootstrap filter; satellite orbit determination; Bayesian methods; Equations; Extraterrestrial measurements; Filtering algorithms; Filters; Gaussian noise; Low earth orbit satellites; Magnetic field measurement; Magnetic separation; Magnetometers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2000. Proceedings of the 2000
  • Conference_Location
    Chicago, IL
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-5519-9
  • Type

    conf

  • DOI
    10.1109/ACC.2000.876607
  • Filename
    876607
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=358174