山崩
计算机科学
平滑的
期限(时间)
遥感
流离失所(心理学)
实时计算
鉴定(生物学)
射频识别
位移映射
相(物质)
计算机视觉
地质学
地震学
心理学
化学
物理
植物
计算机安全
有机化学
量子力学
心理治疗师
生物
纹理映射
作者
Arthur Charléty,Mathieu Le Breton,Laurent Baillet,Éric Larose
出处
期刊:IEEE journal of radio frequency identification
[Institute of Electrical and Electronics Engineers]
日期:2023-01-01
卷期号:7: 319-329
被引量:13
标识
DOI:10.1109/jrfid.2023.3256560
摘要
Localization of passive Radio-Frequency Identification (RFID) tags has been used to monitor landslide surface displacement since 5 years.This method, applied on slow displacements lower than 1cm per day, allows a high spatiotemporal resolution at a relatively low cost.With the feedback of the previous years, this paper proposes to summarize the various challenges encountered with the long-term outdoor RFID localization method, and presents data-processing solutions that were implemented to overcome these challenges.We propose a complex-smoothing unwrapping algorithm, a multi-frequency merging operation, as well as multi-tag and multi-antenna phase combining method.The concept of an unwrapping reference guide is presented and applied with groups of tags showing coherent displacements, or with absolute reference measurements.These approaches allow a higher data availability up to 38% for one site over multiple years, and a better phase unwrapping.Earth surface displacement monitoring with RFID proves to be a robust and accurate solution, with four equipped sites across France and Switzerland.
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