• DocumentCode
    3601354
  • Title

    A Systematization of the Unscented Kalman Filter Theory

  • Author

    Menegaz, Henrique M. T. ; Ishihara, Joao Y. ; Borges, Geovany A. ; Vargas, Alessandro N.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Brasilia, Brasilia, Brazil
  • Volume
    60
  • Issue
    10
  • fYear
    2015
  • Firstpage
    2583
  • Lastpage
    2598
  • Abstract
    In this paper, we propose a systematization of the (discrete-time) Unscented Kalman Filter (UKF) theory. We gather all available UKF variants in the literature, present corrections to theoretical inconsistencies, and provide a tool for the construction of new UKF´s in a consistent way. This systematization is done, mainly, by revisiting the concepts of Sigma-Representation, Unscented Transformation (UT), Scaled Unscented Transformation (SUT), UKF, and Square-Root Unscented Kalman Filter (SRUKF). Inconsistencies are related to 1) matching the order of the transformed covariance and cross-covariance matrices of both the UT and the SUT; 2) multiple UKF definitions; 3) issue with some reduced sets of sigma points described in the literature; 4) the conservativeness of the SUT; 5) the scaling effect of the SUT on both its transformed covariance and cross-covariance matrices; and 6) possibly ill-conditioned results in SRUKF´s. With the proposed systematization, the symmetric sets of sigma points in the literature are formally justified, and we are able to provide new consistent variations for UKF´s, such as the Scaled SRUKF´s and the UKF´s composed by the minimum number of sigma points. Furthermore, our proposed SRUKF has improved computational properties when compared to state-of-the-art methods.
  • Keywords
    Kalman filters; nonlinear filters; discrete-time unscented Kalman filter theory; scaled unscented transformation; sigma-representation; square-root unscented Kalman filter; unscented Kalman filter theory systematization; Additives; Covariance matrices; Equations; Estimation; Kalman filters; Noise; Vectors; Unscented Kalman Filter (UKF); Unscented Transformation (UT);
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2015.2404511
  • Filename
    7042740