• DocumentCode
    550179
  • Title

    Relative states autonomous determination of space non-cooperative target based on union of LSM and SRUKF

  • Author

    Li Hua-shan ; Yan Ye ; Zhou Ying

  • Author_Institution
    Coll. of Astronaut. & Mater. Eng., NUDT, Changsha, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    1467
  • Lastpage
    1471
  • Abstract
    Quickly achieving relative states autonomous determination of space non-cooperative target is studied in this paper. Firstly, relative orbit motion states equation is established which is of high precision under condition of little distance; Secondly, united filtering algorithm of least square method and square root UKF filter is used to improve calculation precision and speed, in which least square method is used to estimate initial values and covariance matrix and then square root UKF filter achieving relative states autonomous determination of space non-cooperative target. Simulation results show the effectiveness of proposed algorithm, which could quickly achieve relative states autonomous determination.
  • Keywords
    Kalman filters; covariance matrices; least squares approximations; object detection; LSM; SRUKF; covariance matrix; initial value estimation; least square method; relative orbit motion state equation; relative state autonomous determination; space noncooperative target; square root UKF filter; united filtering algorithm; Equations; Estimation error; Filtering algorithms; Kalman filters; Least squares methods; Mathematical model; Orbits; Non-cooperative target; Relative states; Square root Unscented Kalman Filter; least square method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6000516