• DOI:10.1109/TAC.2015.2404511
• Corpus ID: 12606055

A Systematization of the Unscented Kalman Filter Theory

@article{Menegaz2015ASO,
  title={A Systematization of the Unscented Kalman Filter Theory},
  author={Henrique Marra Menegaz and Jo{\~a}o Yoshiyuki Ishihara and Geovany de Ara{\'u}jo Borges and Alessandro N. Vargas},
  journal={IEEE Transactions on Automatic Control},
  year={2015},
  volume={60},
  pages={2583-2598}
}

• H. M. Menegaz, J. Ishihara, +1 author A. Vargas
• Published 16 February 2015
• Mathematics
• IEEE Transactions on Automatic Control

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.