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Combined Point Mass and Particle Filter for Target Tracking
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.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2010 (English)In: Proceedings of the 2010 IEEE Aerospace Conference, 2010Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a combined Point Mass Filter (PMF) and Particle Filter (PF), which utilizes the support of the PMF and the high particle density in the PF close to the current estimate. The result is a filter robust to unexpected process events but still with low error covariance. This filter is especially useful for target tracking applications, where target maneuvers suddenly can change unpredictably.

Place, publisher, year, edition, pages
2010.
Keyword [en]
Target tracking, Particle filtering
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-63104DOI: 10.1109/AERO.2010.5446678ISBN: 978-1-4244-3887-7 (print)OAI: oai:DiVA.org:liu-63104DiVA: diva2:376437
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: 2013-07-09

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Orguner, UmutSkoglar, PerTörnqvist, DavidGustafsson, Fredrik

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  • nn-NB
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Output format
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