RFID: Hybrid Scene Analysis-Neural Network System for 3D Indoor Positioning optimal system arrangement approach
2014 (English)Conference paper (Refereed) Published
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.
3D indoor positioning, neural network system, optimal system arrangement, RFID network planning, optimization, radiofrequency identification, reader configuration, scene analysis
Telecommunications Signal Processing Computer Science
IdentifiersURN: urn:nbn:se:bth-6615DOI: 10.1109/I2MTC.2014.6860732Local ID: oai:bth.se:forskinfoB29987C9B8234376C1257D550029E77AOAI: oai:DiVA.org:bth-6615DiVA: diva2:834137
Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International