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A Hybrid Filtering Methodology for Nonlinear Estimation
- 1.0351117 - ÚTIA 2011 CZ eng A - Abstract
Hofman, Radek - Dedecius, Kamil
A Hybrid Filtering Methodology for Nonlinear Estimation.
Abstracts of Contributions to 6th International Workshop on Data-Algorthms-Decision Making. Praha: ÚTIA AV ČR, v.v.i, 2010. s. 46-46.
[6th International Workshop on Data-Algorithms-Decision Making. 02.12.2010-04.12.2010, Jindrichuv Hradec]
R&D Projects: GA MŠMT 1M0572
Institutional research plan: CEZ:AV0Z10750506
Keywords : hybrid filtering * particle filter * ensemble Kalman filter
Subject RIV: BC - Control Systems Theory
http://library.utia.cas.cz/separaty/2010/AS/hofman-a hybrid filtering methodology for nonlinear estimation.pdf
We are concerned with Bayesian estimation of a discrete stochastic process governed by a nonlinear model. We employ marginalized particle filter, which is also known as Rao-Blackwellised particle filter, for on-line tuning of nuisance parameters of analytical filters.
Permanent Link: http://hdl.handle.net/11104/0190938
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