Particle Kalman Filtering: A Nonlinear Bayesian Framework for Ensemble Kalman Filters
Particle Kalman Filtering: A Nonlinear Bayesian Framework for Ensemble Kalman Filters
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Author / Creator
Publisher
Boston, MA: American Meteorological Society
Journal title
Language
English
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Publisher
Boston, MA: American Meteorological Society
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Scope and Contents
Contents
This paper investigates an approximation scheme of the optimal nonlinear Bayesian filter based on the Gaussian mixture representation of the state probability distribution function. The resulting filter is similar to the particle filter, but is different from it in that the standard weight-type correction in the particle filter is complemented by t...
Alternative Titles
Full title
Particle Kalman Filtering: A Nonlinear Bayesian Framework for Ensemble Kalman Filters
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_miscellaneous_923202658
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_923202658
Other Identifiers
ISSN
0027-0644
E-ISSN
1520-0493
DOI
10.1175/2011MWR3640.1
