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Accurate AoA Estimation for RFID Tag Array With Mutual Coupling
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AI
DOI：10.1109/JIOT.2022.3169328.png)
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摘要
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Angle-of-Arrival (AoA) estimation is an important problem in passive radio-frequency identification (RFID) systems. Affixing an RFID tag array to an object enables to acquire its orientation information. However, the electromagnetic interaction between the tags can induce mutual coupling interference, distorting the RFID fingerprint measurements used for AoA estimation. Moreover, RFID reader modes with radio-frequency (RF) noise-tolerant Miller encoding can induce pi-radians phase jump. In this article, we propose a scheme called RF-Mirror that can resolve the mutual coupling and phase jump problems and achieve accurate AoA estimation for an array with two or more tags. First, we characterize the impact of mutual coupling on a tag's signal fingerprint and develop novel RSSI/phase-distance models. We then develop new experimental methods and signal processing techniques to verify the effectiveness of the proposed models. Based on the validated models, we develop new AoA estimation algorithms for tag arrays that deal with the mutual coupling effect explicitly. We provide extensive experimental results, which demonstrate that RF-Mirror can achieve significantly improved performance compared to baseline schemes, with median AoA estimation errors of 11.65 degrees and 6.29 degrees for two-and four-tag arrays, respectively.
Keyword:
Angle of Arrival (AoA)
mutual coupling
phase ambiguity
radiation pattern
radio-frequency identification (RFID)
tag array
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
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