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Indoor Positioning Using WLAN
Örebro University, School of Science and Technology.
Örebro University, School of Science and Technology.
2012 (Swedish)Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesisAlternative title
Inomhuspositionering med WLAN (Swedish)
Abstract [en]

This report evaluates various methods that can be used to position a smartphone running the Android platform, without the use of any special hardware or infrastructure and in conditions where GPS is unavailable or unreliable; such as indoors. Furthermore, it covers the implementation of such a system with the use of a deterministic fingerprinting method that is reasonably device independent, a method which involves measuring a series of reference points, called fingerprints, in an area and using those to locate the user.

The project was carried on behalf of Sigma, a Swedish software consulting company.

Abstract [sv]

Denna rapport evaluerar olika metoder för att bestämma positionen av en smartphone som använder sig av Android-plattformen. Metoden skall inte använda sig av någon speciell hårdvara eller infrastruktur samt kunna hantera förhållanden där GPS är otillgängligt eller opålitligt, som till exempel inomhus. Den beskriver också implementation av ett sådant system som använder sig av en deterministisk fingerprinting-metod som någorlunda väl kan hantera enheter av olika modeller, en metod som innebär att man mäter upp en mängd med referenspunkter, kallade fingerprints, och använder dessa för att placera användaren.

Projektet utfördes på uppdrag av Sigma, ett svenskt mjukvarukonsultbolag.

Place, publisher, year, edition, pages
2012. , 41 p.
Keyword [en]
Indoor Positioning, WLAN, Fingerprinting, RSS, Signal Strength, RSS Difference, Cell Phone, Mobile Phone, Android, Radio Map, WiFi, 802.11, Wireless, Indoor, Positioning, Localisation, Localization
Keyword [sv]
inomhuspositionering, WLAN, fingeravtryck, RSS, signalstyrka, RSS skillnad, mobiltelefon, Android, radiokarta, WiFi, 802.11, trådlös, inomhus, positionering, lokalisering
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:oru:diva-23461OAI: oai:DiVA.org:oru-23461DiVA: diva2:533773
Presentation
2012-05-28, T207, Örebro universitet, Fakultetsgatan 1, 702 8, Örebro, 14:15 (Swedish)
Uppsok
Technology
Supervisors
Examiners
Available from: 2012-06-20 Created: 2012-06-13 Last updated: 2017-10-17Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
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  • nn-NB
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  • Other locale
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Output format
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