• DocumentCode
    1795245
  • Title

    On a new higher degree Cubature Kalman filter

  • Author

    Xiangyuan Huang ; Xiaqing Tang ; Meng Wu

  • Author_Institution
    Dept. of Control Eng., Acad. of Armored Force Eng., Beijing, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    2076
  • Lastpage
    2081
  • Abstract
    A new nonlinear Guassian filter named new 5th-degree cubature Kalman filter is proposed based on the conventional 3rd-degree CKF, for a higher filter accuracy, stronger numeric stability, acceptable computation complexity. The heart of new CKF is 5th-degree spherical and radial rule that a new sampling approach for points and corresponding weights. The 5th-degree CKF may provide a suboptimal solution for high-dimensional nonlinear system with higher accuracy than 3rd-degree and lower calculation than 5th-degree Gauss-Hermite quadrature filter. There is a comparison of filter accuracy and numeric stability in nonlinear initial alignment of SINS between 3rd, 5th and new CKFs. The results demonstrate that the new CKF has higher estamination accuracy and stronger stability with important application value.
  • Keywords
    Gaussian processes; Kalman filters; computational complexity; nonlinear filters; nonlinear systems; numerical stability; 3rd-degree CKF; 5th-degree Gauss-Hermite quadrature filter; 5th-degree cubature Kalman filter; SINS; computation complexity; estamination accuracy; filter accuracy; high-dimensional nonlinear system; nonlinear Guassian filter; nonlinear initial alignment; numeric stability; radial rule; spherical rule; suboptimal solution; Accuracy; Approximation methods; Estimation; Filtering algorithms; Kalman filters; Polynomials; Vectors;
  • 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.2014.7007497
  • Filename
    7007497