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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) Published
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
URN: urn:nbn:se:bth-6615DOI: 10.1109/I2MTC.2014.6860732Local ID: diva2:834137
Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International
Available from: 2014-09-30 Created: 2014-09-16 Last updated: 2015-06-30Bibliographically approved

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Department of Applied Signal Processing
TelecommunicationsSignal ProcessingComputer Science

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