Passive UHF-RFID Hyperbolic Positioning of Moving Tags by Exploiting Neural Networks-Reference-Cited by-同舟云学术

Passive UHF-RFID Hyperbolic Positioning of Moving Tags by Exploiting Neural Networks

Published:2022 Issue: Volume:6 Page:402-412
ISSN:2469-7281
Container-title:IEEE Journal of Radio Frequency Identification
language:
Short-container-title:IEEE J. Radio Freq. Identif.

Author:

Megalou Spyros¹^ORCID,Chatzistefanou Aristidis Raptopoulos¹^ORCID,Tzitzis Anastasios¹^ORCID,Yioultsis Traianos V.¹^ORCID,Dimitriou Antonis G.¹^ORCID

Affiliation:

1. School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

Funder

European Union and Greek National Funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH—CREATE—INNOVATE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7433271/9663041/09733036.pdf?arnumber=9733036

Reference25 articles.

1. Tagoram

2. Trajectory-Tracking of UHF RFID Tags, Exploiting Phase Measurements Collected From Fixed Antennas

3. Indoor Localization of Passive UHF RFID Tags Based on Phase-of-Arrival Evaluation

4. TagRay: Contactless Sensing and Tracking of Mobile Objects using COTS RFID Devices

5. D-Watch: Embracing “Bad” Multipaths for Device-Free Localization With COTS RFID Devices

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