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Using the Particle Filter as Mitigation to GPS Vulnerability for Navigation at Sea
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)In: Proceedings of the 13th IEEE/SP Workshop on Statistical Signal Processing, 2005, 1270-1273 p.Conference paper, Published paper (Refereed)
Abstract [en]

A map-aided navigation method for positioning at sea is proposed, as a supplement to satellite navigation based on the global positioning system (GPS). The proposed Bayesian navigation method is based on information from a radar and information from databases. For the described system, the fundamental navigation performance expressed as the Cramér-Rao lower bound (CRLB) is analyzed and an analytic solution as a function of the position is derived. As a solution to the recursive Bayesian navigation problem, the particle filter is proposed. In an extensive Monte Carlo simulation performance equals a GPS system.

Place, publisher, year, edition, pages
2005. 1270-1273 p.
Keyword [en]
Sea navigation, Particle filter, Cramér-Rao lower bound
National Category
Engineering and Technology Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-29614DOI: 10.1109/SSP.2005.1628791Local ID: 14993ISBN: 0-7803-9403-8 (print)OAI: oai:DiVA.org:liu-29614DiVA: diva2:250431
Conference
13th IEEE/SP Workshop on Statistical Signal Processing, Bordeaux, France, July, 2005
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2013-03-22

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Karlsson, RickardGustafsson, Fredrik

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  • de-DE
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  • en-US
  • fi-FI
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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