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Localization Based on Observations Linear in Log Range
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.
2008 (English)In: Proceedings of the 17th IFAC World Congress, 2008, 10252-10257 p.Conference paper, Published paper (Refereed)
Abstract [en]

AbstractReceived signal strength (RSS) is used in wireless networks as a ranging measurement for positioning and localization services. This contribution studies conceptually different networks, where neither transmitted power or the path decay constant can be assumed to be known. The application in mind is a rapidly deployed network consisting of a number of sensor nodes with low-bandwidth communication, each node consisting of a number of sensor types measuring RSS. Typical sensors measure acoustic, seismic, magnetic and IR power emitted from a target. First, a model linear in the unknown nuisance parameters (transmitted power and path loss constant) is presented and validated from real data. Then, the separable least squares principle is applied to the non-linear least squares (NLS) cost function, after which a cost function of only the unknown position is obtained. Results from field trials are presented to validate the method.

Place, publisher, year, edition, pages
2008. 10252-10257 p.
Keyword [en]
Sensor networks, Estimation, Kalman Filtering
National Category
Engineering and Technology Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-89047DOI: 10.3182/20080706-5-KR-1001.01735ISBN: 978-3-902661-00-5 (print)OAI: oai:DiVA.org:liu-89047DiVA: diva2:606865
Conference
17th IFAC World Congress, Seoul, South Korea, July, 2008
Available from: 2013-02-20 Created: 2013-02-19 Last updated: 2013-02-20

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Gustafsson, FredrikGunnarsson, Fredrik

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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