• DocumentCode
    1584021
  • Title

    Research on multi-sensor fusion of underwater robot navigation system

  • Author

    Hong, Zhang ; Zhen-hua, Song

  • Author_Institution
    Electr. Eng. Coll., Northeast Dianli Univ., Jilin, China
  • fYear
    2009
  • Firstpage
    1327
  • Lastpage
    1330
  • Abstract
    A general design method of federated Kalman filter based on multi-sensor fusion is introduced, and applied in integrated navigation system including SINS, electronic compass and depth gauge for underwater robot integrated navigation system. We adopts federal filtering NR structure of integrated navigation which establishes a SINS / electronic compass sub-filter, SINS / depth gauge sub-filter and main filter. Simulation results show that the federal filter is feasible for integrated navigation. It ensures not only fault tolerance and real-time at the same time, but also meets the system accuracy.
  • Keywords
    Kalman filters; fault tolerance; mobile robots; path planning; sensor fusion; underwater vehicles; SINS; depth gauge sub-filter; electronic compass sub-filter; fault tolerance; federal filtering NR structure; federated Kalman filter; integrated navigation system; multisensor fusion; real-time system; underwater robot navigation system; Equations; Error correction; Fault tolerant systems; Filtering; Filters; Markov processes; Navigation; Robots; Silicon compounds; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-4774-9
  • Electronic_ISBN
    978-1-4244-4775-6
  • Type

    conf

  • DOI
    10.1109/ROBIO.2009.5420720
  • Filename
    5420720