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Sequential Monte Carlo Filtering Techniques Applied to Integrated Navigation Systems
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.
2001 (English)In: Proceedings of the 2001 American Control Conference, 2001, 4375-4380 vol.6 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper addresses the problem of integrated aircraft navigation, more specifically how to integrate inertial navigation with terrain aided positioning. This is a highly nonlinear and non-Gaussian recursive state estimation problem which requires state of the art methods. We propose an algorithm based on the particle filter with particular attention to the complexity of the problem. The proposed algorithm takes advantage of linear and Gaussian structure within the system and solves these parts using the Kalman filter. The remaining parts suffering from severe nonlinear and/or non-Gaussian structure are solved using the particle filter. The proposed filter is applied to a simplified integrated navigation system. The result shows that very good performance is achieved for a tractable computational load.

Place, publisher, year, edition, pages
2001. 4375-4380 vol.6 p.
Keyword [en]
Gaussian processes, Kalman filters, Aircraft navigation, State estimation
National Category
Engineering and Technology Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-90800DOI: 10.1109/ACC.2001.945666ISBN: 0-7803-6495-3 (print)OAI: oai:DiVA.org:liu-90800DiVA: diva2:616423
Conference
2001 American Control Conference, Arlington, VA, USA, June, 2001
Available from: 2013-04-16 Created: 2013-04-07 Last updated: 2013-04-16

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Gustafsson, FredrikNordlund, Per-Johan

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CiteExportLink to record
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Citation style
  • apa
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  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
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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