The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
A Systematization of the Unscented Kalman Filter Theory
Open accessAbstract
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.
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Cites
Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505
A New Approach to Linear Filtering and Prediction Problems
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Unscented Filtering and Nonlinear Estimation
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New extension of the Kalman filter to nonlinear systems
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Optimal State Estimation: Kalman, H∞, and Nonlinear Approaches
Simon, D. (2006) · doi:10.1002/0470045345 · Cited by 4,875
The unscented Kalman filter for nonlinear estimation
Wan, E. A., & Van Der Merwe, R. (2002) · Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373) · doi:10.1109/asspcc.2000.882463 · Cited by 4,001
A new method for the nonlinear transformation of means and covariances in filters and estimators
Julier, S., Uhlmann, J., & Durrant-Whyte, H. F. (2000) · IEEE Transactions on Automatic Control · doi:10.1109/9.847726 · Cited by 3,735
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Metadata
- Authors
- Menegaz, H. M. T., Ishihara, J. Y., Borges, G. A., & Vargas, A. N.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 2015-10
- Volume
- 60
- Issue
- 10
- Pages
- 2583-2598
- ISSN
- 0018-9286 (ISSN-L)
- 1558-2523
- OpenAlex
- W2079605428
- Cited by
- 278
- References
- 49
- FWCI
- 20.96
- Type
- journal article
- Language
- en
- Open access
- green
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