A Multiple-Model State Estimator based on the Unscented Kalman Filter
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- Type
- article
- Published
- 2020-07-01
- Cited by
- 2
- References
- 15
- OpenAlex
- https://openalex.org/W3086876622
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:221590751
Keywords
Unscented transform, Extended Kalman filter, Kalman filter, Invariant extended Kalman filter, Control theory (sociology)
References
- Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software
- Stochastic Models, Estimation And Control
- An Introduction to Signal Detection and Estimation
- A new nonlinear state estimator using the fusion of multiple extended Kalman filters
- New Results in Linear Filtering and Prediction Theory
- Novel approach to nonlinear/non-Gaussian Bayesian state estimation
- General model-set design methods for multiple-model approach
- Survey of maneuvering target tracking. Part V. Multiple-model methods
- A new method for the nonlinear transformation of means and covariances in filters and estimators
- Unscented filtering and nonlinear estimation
- Survey of maneuvering target tracking. Part I. Dynamic models
- A Numerical-Integration Perspective on Gaussian Filters
- Nonlinear Kalman Filtering With Divergence Minimization
- A General Method for Approximating Nonlinear Transformations of Probability Distributions
- Bayesian Filtering and Smoothing
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