• DocumentCode
    3136777
  • Title

    Adaptive unscented Kalman filter in Inertial Navigation System alignment

  • Author

    Huang, Xianlin ; Wang, Zhenkai

  • Author_Institution
    Center for Control Theor. & Guidance Technol., Harbin Inst. of Technol., Harbin, China
  • Volume
    2
  • fYear
    2011
  • fDate
    25-28 July 2011
  • Firstpage
    1005
  • Lastpage
    1008
  • Abstract
    An adaptive unscented Kalman filter is presented, in this algorithm, modified Sage-Husa noise statistics estimator is introduced to estimate the process noise variances adaptively. The nonlinear filter is applied in INS alignment with large azimuth error. Simulation results show that adaptive Unscented Kalman filter performance well in the special case.
  • Keywords
    Kalman filters; adaptive filters; nonlinear filters; statistical analysis; INS alignment; adaptive unscented Kalman filter; azimuth error; inertial navigation system alignment; modified Sage-Husa noise statistics estimator; noise variance; nonlinear filter; unscented Kalman filter performance; Adaptation models; Azimuth; Computational modeling; Estimation; Kalman filters; Noise; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-0813-8
  • Type

    conf

  • DOI
    10.1109/ICICIP.2011.6008402
  • Filename
    6008402
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3136777