Constrained state estimation in particle filters

Bradley Ebinger, Nidhal Bouaynaya, Robi Polikar, Roman Shterenberg

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

6 Scopus citations

Abstract

Dynamical systems are often required to satisfy certain constraints arising from basic physical laws, mathematical properties or geometric considerations. Incorporating constraints improves the performance of state estimation and increases the accuracy compared to unconstrained estimation.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4050-4054
Number of pages5
ISBN (Electronic)9781467369978
DOIs
StatePublished - Aug 4 2015
Event40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia
Duration: Apr 19 2014Apr 24 2014

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2015-August
ISSN (Print)1520-6149

Other

Other40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Country/TerritoryAustralia
CityBrisbane
Period4/19/144/24/14

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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