A comparative study of nonlinear filtering techniques

Adam K. Tilton, Shane Ghiotto, Prashant Girdharilal Mehta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In a recent work it is shown that importance sampling can be avoided in the particle filter through an innovation structure inspired by traditional nonlinear filtering combined with optimal control formalisms. The resulting algorithm is referred to as feedback particle filter.

Original languageEnglish (US)
Title of host publicationProceedings of the 16th International Conference on Information Fusion, FUSION 2013
Pages1827-1834
Number of pages8
StatePublished - Dec 26 2013
Event16th International Conference of Information Fusion, FUSION 2013 - Istanbul, Turkey
Duration: Jul 9 2013Jul 12 2013

Publication series

NameProceedings of the 16th International Conference on Information Fusion, FUSION 2013

Other

Other16th International Conference of Information Fusion, FUSION 2013
CountryTurkey
CityIstanbul
Period7/9/137/12/13

ASJC Scopus subject areas

  • Information Systems

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