• DocumentCode
    3216293
  • Title

    Unscented Kalman Filter based Autonomous Optical Navigation Method

  • Author

    Shu-Lin Sui ; Jian Yuan ; Wen-Xia Zhang

  • Author_Institution
    Inst. of Autonomous Navigation & Intelligent control, Qingdao Univ. of Sci. & Technol., China
  • fYear
    2006
  • fDate
    7-11 Aug. 2006
  • Firstpage
    403
  • Lastpage
    406
  • Abstract
    Through much research into environment characteristic of the fast movement and anomalous celestial bodies figure in autonomous orbit determination of deep space explorer, an autonomous optical navigation scheme based on Unscented Kalman Filter is proposed to determine the circling orbit state in time, in which star sensor and navigation camera are used in measuring special angles between planetoids and explorer, which can promote parameter mean and predictive precision, so it can solve the difficulty of autonomous orbit determination. Compared with extended Kalman filter, it shows that its performance is better than extended Kalman filter based on minimum mean square error.
  • Keywords
    Kalman filters; aerospace robotics; mean square error methods; mobile robots; navigation; object detection; robot vision; space vehicles; anomalous celestial bodies; autonomous optical navigation; autonomous orbit determination; circling orbit state determination; deep space explorer; minimum mean square error; navigation camera; planetoids; special angle measurement; star sensor; unscented Kalman filter; Cameras; Extraterrestrial measurements; Goniometers; Navigation; Optical filters; Optical sensors; Planetary orbits; Sensor phenomena and characterization; Space exploration; Time measurement; Autonomous Optical Navigation; Orbit Determination; Unscented Kalman Filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2006. CCC 2006. Chinese
  • Conference_Location
    Harbin
  • Print_ISBN
    7-81077-802-1
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.280582
  • Filename
    4060545