• DocumentCode
    3389298
  • Title

    Space registration algorithm based on UKF using hybrid states

  • Author

    Li Dong-wei ; Xie Wei-xin ; Huang Jian-jun ; Jin, Kai-Chun ; Jin Kai-chun

  • Author_Institution
    Sch. of Electron. Eng., Xidian Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    340
  • Lastpage
    343
  • Abstract
    A new UKF based for radar and infrared sensor registration method is provided. A so-called "hybrid states" concept is introduced to describe target\´s state, which consists of the target\´s range, bearing and elevation and its velocity in the Cartesian coordinate system. The dynamic function and the measurement function are deduced in hybrid states. Simulation results show that the proposed method has higher accuracy and stronger robustness in the estimation of system biases.
  • Keywords
    Kalman filters; infrared detectors; radar signal processing; sensor fusion; Cartesian coordinate system; hybrid states; infrared sensor registration method; radar registration method; space registration algorithm; unscented Kalman filter; Coordinate measuring machines; Equations; Estimation; Noise; Radar measurements; Radar tracking; Hybrid States; Space Registration; Unscented Kaiman Filter (UKF);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5654990
  • Filename
    5654990