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A Generalized Method to Combat Multipaths for RFID Sensing
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AI
DOI：10.1109/TNET.2022.3190862.png)
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Abstract
En 中文
There have been increasing interests in exploring the sensing capabilities of RFID to enable numerous IoT applications, including object localization, trajectory tracking, and human behavior sensing. However, most existing methods rely on the signal measurement either in a low multipath environment, which is unlikely to exist in many practical situations, or with special devices, which increase the operating cost. This paper investigates the possibility of measuring 'multi-path-free' signal information in multipath-prevalent environments simply using a commodity RFID reader. The proposed solution, Clean Physical Information Extraction (CPIX), is universal, accurate, and compatible to standard protocols and devices. CPIX improves RFID sensing quality with near zero cost - it requires no extra device. We implement CPIX and study three major RFID sensing applications: tag localization, device calibration and human behavior sensing. CPIX reduces the localization error by 30% to 50% and achieves the MOST accurate localization by commodity readers compared to existing work. It also significantly improves the quality of device calibration and human behaviour sensing.
Keywords:
Radiofrequency identification
Sensors
Location awareness
Antenna arrays
Behavioral sciences
Antenna measurements
Trajectory tracking
RFID
sensing
multipath
localization
Journal
I
IF:
3.6
Papers:
4.4K
Citations:
9.5K
