Efficient particle filtering through residual nudging

Xiaodong Luo, Ibrahim Hoteit

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


We introduce an auxiliary technique, called residual nudging, to the particle filter to enhance its performance in cases where it performs poorly. The main idea of residual nudging is to monitor and, if necessary, adjust the residual norm of a state estimate in the observation space so that it does not exceed a pre-specified threshold. We suggest a rule to choose the pre-specified threshold, and construct a state estimate accordingly to achieve this objective. Numerical experiments suggest that introducing residual nudging to a particle filter may (substantially) improve its performance, in terms of filter accuracy and/or stability against divergence, especially when the particle filter is implemented with a relatively small number of particles. © 2013 Royal Meteorological Society.
Original languageEnglish (US)
Pages (from-to)557-572
Number of pages16
JournalQuarterly Journal of the Royal Meteorological Society
Issue number679
StatePublished - May 15 2013

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We thank Dr M. Bocquet, Dr C. Snyder and two anonymous reviewers for their constructive and inspiring comments and suggestions. We have also benefited from useful discussions with Dr Geir Naevdal and Dr Andreas Stordal at IRIS. Luo acknowledges partial financial support from the Research Council of Norway and industrial partners through the project 'Transient well flow modelling and modern estimation techniques for accurate production allocation'.

ASJC Scopus subject areas

  • Atmospheric Science


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