E
Eric A. Wan
Researcher at Portland State University
Publications - 74
Citations - 12934
Eric A. Wan is an academic researcher from Portland State University. The author has contributed to research in topics: Kalman filter & Extended Kalman filter. The author has an hindex of 33, co-authored 74 publications receiving 12063 citations. Previous affiliations of Eric A. Wan include Stanford University & Oregon Health & Science University.
Papers
More filters
Proceedings ArticleDOI
The unscented Kalman filter for nonlinear estimation
Eric A. Wan,R. van der Merwe +1 more
TL;DR: The unscented Kalman filter (UKF) as discussed by the authors was proposed by Julier and Uhlman (1997) for nonlinear control problems, including nonlinear system identification, training of neural networks, and dual estimation.
Proceedings Article
The Unscented Particle Filter
TL;DR: This paper proposes a new particle filter based on sequential importance sampling that outperforms standard particle filtering and other nonlinear filtering methods very substantially and is in agreement with the theoretical convergence proof for the algorithm.
Proceedings ArticleDOI
The square-root unscented Kalman filter for state and parameter-estimation
R. van der Merwe,Eric A. Wan +1 more
TL;DR: The square-root unscented Kalman filter (SR-UKF) is introduced which is also O(L/sup 3/) for general state estimation and O( L/sup 2/) for parameter estimation and has the added benefit of numerical stability and guaranteed positive semi-definiteness of the state covariances.
Sigma-point kalman filters for probabilistic inference in dynamic state-space models
TL;DR: This work has consistently shown that there are large performance benefits to be gained by applying Sigma-Point Kalman filters to areas where EKFs have been used as the de facto standard in the past, as well as in new areas where the use of the EKF is impossible.