• DocumentCode
    1795191
  • Title

    Preliminary study on the attitude determination system for cruise missile based on IMM-UKF

  • Author

    Li Zhuolun ; Hu Jiwen ; Bai Jin

  • Author_Institution
    Wuhan Mech. Technol. Coll., Wuhan, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    1729
  • Lastpage
    1733
  • Abstract
    A new method for the attitude determination of cruise missile using both satellite sensor and gyro is presented in this paper. An augmented measurement vector in the inertial coordinate system is formed using the original measurements, and the problem of the missile attitude determination is modeled as a nonlinear filtering process. Since it is difficult for conventional non-linear filtering methods to achieve both high accuracy and real-time implementation, the unscented Kalman filter is adopted and high-precision attitude determination is realized. Considering the practical operating conditions, such as the unknown and time-varying noises, a method combining interactive multi-model (IMM) and UKF is adopted for missile attitude determination. Simulation results confirmed the effectiveness and superiority of the proposed method and its feasibility for practical implementation.
  • Keywords
    Kalman filters; aerospace computing; artificial satellites; attitude measurement; military computing; missiles; nonlinear filters; IMM-UKF; augmented measurement vector; cruise missile; gyro; inertial coordinate system; interactive multimodel; missile attitude determination; nonlinear filtering process; satellite sensor; time-varying noises; unknown noises; unscented Kalman filter; Coordinate measuring machines; Extraterrestrial measurements; Missiles; Noise; Noise measurement; Position measurement; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007443
  • Filename
    7007443