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Performance analysis of an RFID-based 3D indoor positioning system combining scene analysis and neural network methods
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
2013 (English)In: Scientific Papers of Faculty of Electrical and Control Engineering Gdansk University of Technology, ISSN 1425-5766, no 34, 29-33 p.Article, review/survey (Refereed) Published
Abstract [en]

The main purpose of this research is to improve localization accuracy of an active Radio Frequency Identification, RFID tag, in 3D indoor space. The paper presents a new RFID based 3D Indoor Positioning System which shows performance improvement. The proposed positioning system combines two methods: the Scene Analysis technique and Artificial Neural Network. The results of both simulation using Log-Distance Path Loss Model and physical experiments validate that the proposed positioning system improves the localization accuracy of an RFID tag compared with well-known Scene Analysis technique solutions

Place, publisher, year, edition, pages
Faculty of Electrical and Control Engineering Gdansk University of Technology , 2013. no 34, 29-33 p.
Keyword [en]
indoor positioning system, neural network, radio frequency identification, scene analysis
National Category
Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:bth-6613Local ID: oai:bth.se:forskinfo7D45085B55291527C1257D5D0046F0BCOAI: oai:DiVA.org:bth-6613DiVA: diva2:834131
Available from: 2014-10-03 Created: 2014-09-24 Last updated: 2017-03-13Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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