• DocumentCode
    3660200
  • Title

    Observable degree analysis for inertial navigation in-flight alignment based on information theory

  • Author

    Qiang Fang;Hua-Yong Zhu;Dai-Bing Zhang;Xin-Sheng Huang

  • Author_Institution
    College of Mechatronics and Automation, National University of Defense Technology, Hunan, Changsha, China
  • fYear
    2015
  • Firstpage
    1222
  • Lastpage
    1226
  • Abstract
    A method of analyzing the observable degree of time-varying linear systems as piece-wise constant systems(PWCS) is applied to the analysis of in-flight alignment(IFA) of inertial navigation systems(INS) whose estimability is known to be enhanced by maneuvers. It is shown that through the method based on mutual information, we can not only determine which state is observable and which is not, but also calculate the exact degree of observability of the system states. Simulation results demonstrate the validity of the method.
  • Keywords
    "Observability","Mutual information","Simulation","Inertial navigation","Mathematical model","Global Positioning System","Covariance matrices"
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICInfA.2015.7279473
  • Filename
    7279473