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Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Electrical and Computer Engineering

University of South Florida

Theses/Dissertations

2017

Artificial Neural Network

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Full-Text Articles in Engineering

Grid-Based Rfid Indoor Localization Using Tag Read Count And Received Signal Strength Measurements, Nanda Gopal Jeevarathnam Oct 2017

Grid-Based Rfid Indoor Localization Using Tag Read Count And Received Signal Strength Measurements, Nanda Gopal Jeevarathnam

USF Tampa Graduate Theses and Dissertations

Passive ultra-high frequency (UHF) radio frequency identification (RFID) systems have gained immense popularity in recent years for their wide-scale industrial applications in inventory tracking and management. In this study, we explore the potential of passive RFID systems for indoor localization by developing a grid-based experimental framework using two standard and easily measurable performance metrics: received signal strength indicator (RSSI) and tag read count (TRC). We create scenarios imitating real life challenges such as placing metal objects and other RFID tags in two different read fields (symmetric and asymmetric) to analyze their impacts on location accuracy. We study the prediction potential …