Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
RFID: Hybrid Scene Analysis-Neural Network System for 3D Indoor Positioning optimal system arrangement approach
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
2014 (English)Conference paper, (Refereed)
Abstract [en]

The purpose of this research is to find an optimal number and configuration of readers in RFID based 3D Indoor Positioning System. The system applies a Hybrid Scene Analysis - Neural Network algorithm to estimate target's position with a desired accuracy. The system's accuracy and cost depend on a number of utilized readers and their arrangement. Readers' deployment is crucial for the localization accuracy too. The system optimization enhances the system cost-efficiency. The arrangement analysis was based on simulations and validated by physical experiment. The results of this research define a trade-off between a number of readers and their deployment and the system performance in terms of localization accuracy.

Place, publisher, year, edition, pages
Montevideo: IEEE , 2014.
Keyword [en]
3D indoor positioning, neural network system, optimal system arrangement, RFID network planning, optimization, radiofrequency identification, reader configuration, scene analysis
National Category
Telecommunications Signal Processing Computer Science
Identifiers
URN: urn:nbn:se:bth-6615DOI: 10.1109/I2MTC.2014.6860732Local ID: oai:bth.se:forskinfoB29987C9B8234376C1257D550029E77AOAI: oai:DiVA.org:bth-6615DiVA: diva2:834137
Conference
Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International
Available from: 2014-09-30 Created: 2014-09-16 Last updated: 2017-03-16Bibliographically approved

Open Access in DiVA

fulltext(641 kB)151 downloads
File information
File name FULLTEXT01.pdfFile size 641 kBChecksum SHA-512
7bd180d53b5088b7c638049fdd6255abb185cfaeb44d17867068c22d8526bbde5412a37d2440856a21a6506f2ae112afccfb090185239e5c3b4d7d1161cd50df
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Kulesza, Wlodek J.
By organisation
Department of Applied Signal Processing
TelecommunicationsSignal ProcessingComputer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 151 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 188 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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