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Particle Filtering with Propagation Delayed Measurements
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.
2010 (English)In: Proceedings of the 2010 IEEE Aerospace Conference, 2010, 1-9 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper investigates the problem of propagation delayed measurements in a particle filtering scenario. Based on implicit constraints specified by target dynamics and physics rules of signal propagation, authors apply the ideas that were first proposed in their previous work to the case of particle filters. Unlike the deterministic sampling based approach called propagation delayed measurement filter (PDMF) in their previous work, the new algorithm proposed here (called as PDM particle filter (PDM-PF)) has the potential to be used with general nonlinear models. This advantage and the estimation results of PDM-PF are illustrated in a challenging target tracking scenario by making comparisons to PDMF along with some other alternative particle filters.

Place, publisher, year, edition, pages
2010. 1-9 p.
Keyword [en]
Particle filtering, Signal sampling, Target tracking
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-63102DOI: 10.1109/AERO.2010.5446679ISBN: 978-1-4244-3888-4 (print)ISBN: 978-1-4244-3887-7 (print)OAI: oai:DiVA.org:liu-63102DiVA: diva2:376425
Conference
2010 IEEE Aerospace Conference, Big Sky, MT, USA, 6-13 March, 2010
Projects
CADICS
Available from: 2010-12-10 Created: 2010-12-10 Last updated: 2013-07-07

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Orguner, UmutGustafsson, Fredrik

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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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