• DocumentCode
    3399382
  • Title

    Study on expansion and non-expansion of UKF

  • Author

    Li Heng ; Zhang Jing-yuan ; Luo Xuan

  • Author_Institution
    Dept. of Weaponry Eng., Naval Univ. of Eng., Wuhan, China
  • fYear
    2011
  • fDate
    19-22 Aug. 2011
  • Firstpage
    2494
  • Lastpage
    2497
  • Abstract
    It is usually accepted that UKF can be used in the form of state non-expansion when noise is additive, in order to prove it incorrect, we made use of scaled symmetric set unscented transformation to deduce and explain the difference in the situation of complicated additive noise model, theory deduction results indicated there were differences between expansion and non-expansion UKF algorithms while state estimation, and there was no difference while parameter estimation. Finally, simulation results testify that theory deduction is correct, the conclusion can be the reference for UKF application.
  • Keywords
    Kalman filters; parameter estimation; state estimation; additive noise model; parameter estimation; scaled symmetric set unscented transformation; state estimation; state expansion; state non-expansion; theory deduction; unscented Kalman filter application; Estimation error; Filtering theory; Kalman filters; Noise; Parameter estimation; State estimation; State expansion; non-expansion; unscented kalman filter (UKF); unscented transformation (UT);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
  • Conference_Location
    Jilin
  • Print_ISBN
    978-1-61284-719-1
  • Type

    conf

  • DOI
    10.1109/MEC.2011.6025999
  • Filename
    6025999