Fusion of RSS and Phase Shift Using the Kalman Filter for RFID Tracking

Radio frequency identification (RFID)-based indoor tracking system has been used for the localization and tracking of forklift and automated guided vehicles in warehouses. Most of the existing tracking methods rely on either received signal strength (RSS) or phase shift alone. This paper presents a...

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Veröffentlicht in:	IEEE sensors journal 2017-06, Vol.17 (11), p.3551-3558
Hauptverfasser:	Ma, Haishu, Wang, Kesheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Antenna measurements Artificial neural networks Automated guided vehicles Estimation extreme learning machine (ELM) Fingerprint recognition fingerprinting Fingerprints Kalman filter Kalman filters Least squares method Machine learning Mobile communication phase difference Phase shift Radio frequency identification Radiofrequency identification RFID Signal strength tracking Tracking systems
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