• DocumentCode
    1865736
  • Title

    Federated filter with strengthened FDIR capability for multiple sensor navigation system

  • Author

    Mu, Rongjun ; Rong, Siyuan ; Cui, Naigang

  • Author_Institution
    Dept. of Space Eng., Harbin Inst. of Technol.
  • fYear
    2006
  • fDate
    19-21 Jan. 2006
  • Lastpage
    604
  • Abstract
    A specific integrated navigation system, INS/GPS/Doppler/CNS was analyzed. The characteristic, model and principle of federated filtering algorithm with FDIR (fault detect/isolate/rescale) capability were researched to satisfy requests of high reliability and fault-tolerant ability which were put forward by multiple sensor navigation system. Moreover, application model and FDIR model were proposed for fusion system which are built-up by local systems and supervised by federated filter. Based on these two models, local multiple fading fault-tolerant filter and FDIR strategy for general system are presented. Effectiveness and practicability rise after the validation by simulations for this two-stage (local(s)+general) fault-tolerant multiple sensor fusion system
  • Keywords
    Global Positioning System; aerospace instrumentation; fault tolerance; filtering theory; sensor fusion; FDIR capability; INS-GPS-Doppler-CNS system; fault detect-isolate-rescale capability; fault-tolerant ability; fault-tolerant multiple sensor fusion system; federated filtering algorithm; integrated navigation system; local multiple fading fault-tolerant filter; multiple sensor navigation system; Fading; Fault detection; Fault tolerant systems; Filtering algorithms; Filters; Global Positioning System; Navigation; Sensor fusion; Sensor phenomena and characterization; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on
  • Conference_Location
    Harbin
  • Print_ISBN
    0-7803-9395-3
  • Type

    conf

  • DOI
    10.1109/ISSCAA.2006.1627409
  • Filename
    1627409