Record link: 
http://hdl.handle.net/20.500.12708/219718
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Title: 
Direct positioning in single-channel UHF-RFID systems with particle filter-based algorithms
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Citation: 
Pohl, T. M., Mecklenbräuker, C. F., Wielandner, L., & Arthaber, H. (2025). Direct positioning in single-channel UHF-RFID systems with particle filter-based algorithms. In 2024 IEEE International Conference on RFID Technology and Applications (RFID-TA) (pp. 74–77). https://doi.org/10.1109/RFID-TA64374.2024.10965174
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Publisher DOI: 
10.1109/RFID-TA64374.2024.10965174
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Pohl, Thomas Michael 
Mecklenbräuker, Christoph F. 
Wielandner, Lukas 
Arthaber, Holger 
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Organisational Unit: 
E354-01 - Forschungsbereich Microwave and THz Electronics 
E389-02 - Forschungsbereich Wireless Communications 
E056-08 - Fachbereich Internet of Things 
E056-25 - Fachbereich FutureTHz 
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Published in: 
2024 IEEE International Conference on RFID Technology and Applications (RFID-TA) 
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ISBN: 
979-8-3315-4022-7
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DOI of the book: 
10.1109/RFID-TA64374.2024
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Date (published): 
22-Apr-2025
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Event name: 
2024 IEEE International Conference on RFID Technology and Applications (RFID-TA) 
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Event date: 
18-Dec-2024 - 20-Dec-2024
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Event place: 
Daytona Beach, Florida, United States of America (the)
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Number of Pages: 
4
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Peer reviewed: 
Yes
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Keywords: 
Antenna measurements; Lower bound; Atmospheric measurements; Measurement uncertainty; Reconstruction algorithms; Particle measurements; Particle filters; Trajectory; Doppler effect; Antennas; UHF; RFID; Reconstruction; Trajectory; Particle Filter
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Abstract: 
This contribution presents a direct positioning algorithm for the movement reconstruction of objects tagged with passive Ultra High Frequency (UHF) Radio Frequency Identification (RFID) tags in postprocessing. We propose a signal model with the assumption of the movement trajectory being separable in piecewise linear parts with constant velocity in the x-y plane. The reconstruction algorithm consists of a Sequential Importance Resampling (SIR) particle filter using a switched antenna system of 14 antennas in a laboratory room. The estimator reaches the Cramer-Rao lower bound (CRLB) under optimal conditions and provides a Root Mean Squared Error (RMSE) of less than 0.3 m for real-world measurement data.
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Project title: 
Christian Doppler Labor für Ortssensitive Elektronische Systeme: CD-Labs für "Ortssensitive Elektronische Systeme" (Christian Doppler Forschungsgesells) 
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Research Areas: 
Telecommunication: 80%
Sensor Systems: 20%
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Science Branch: 
2020 - Elektrotechnik, Elektronik, Informationstechnik: 100%
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Appears in Collections:
Conference Paper

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