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The Marginalized Particle Filter in Practice
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2005 (English)Report (Other academic)
Abstract [en]

The marginalized particle filter is a powerful combination of the particle filter and the Kalman filter, which can be used when the underlying model contains a linear sub-structure, subject to Gaussian noise. This paper will illustrate several positioning and target tracking applications, solved using the marginalized particle filter. Furthermore, we analyze several properties of practical importance, such as its computational complexity and how to cope with quantization effects.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2005. , 14 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2715
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-56044ISRN: LiTH-ISY-R-2715OAI: oai:DiVA.org:liu-56044DiVA: diva2:316897
Funder
Vinnova
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-10-02

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Schön, ThomasKarlsson, RickardGustafsson, Fredrik

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf