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The Localization of Buried Objects in the Soil Using an RFID Tag: Protocol Description and Parameter Estimation With the Model of the Oscillating Magnetic Field in Media

机译:使用RFID标签在土壤中埋藏物体的定位:协议描述和介质中振荡磁场模型的参数估计

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This paper introduces a localization protocol that fills a gap among already existing methods, such as ground penetrating radar or methods based on inductive prospecting. The principle is to attach a radio frequency identification (RFID) tag to a non-metallic object of interest buried in a non-magnetic soil and deduce its depth from the magnetic induction in the near field regime between the buried tag and an RFID antenna. Electromagnetic propagation in soils has been extensively studied in geophysics. The higher the frequency, the lower the penetration depth. The standard frequency range in geophysics is lower than 100 kHz to reach penetration depth as high as several tens of meters and the soil conductance is the main influencing factor. When working with passive RFID tags, their received power and, consequently, the detection range in air grows with the frequency. A frequency tradeoff for the detection in media lies in the range of 10-50 MHz, where the authorized RFID frequency is 13.56 MHZ. In this range, the wavenumber in weakly saline soils depends essentially on the medium dielectric permittivity (see Appendix A). In this paper, we calculate the precision of the estimation of the burying depth of the tag in terms of the standard deviation and the corresponding bias up to two uncertain parameters-the penetration depth and the activation field. The laboratory experiments provide results supporting the chosen model.
机译:本文介绍了一种定位协议,该协议填补了现有方法中的空白,例如探地雷达或基于感应勘探的方法。原理是将射频识别(RFID)标签附加到埋在非磁性土壤中的非金属感兴趣对象上,并根据埋入式标签和RFID天线之间的近场状态的磁感应来推断其深度。土壤中的电磁传播已在地球物理学中得到了广泛的研究。频率越高,穿透深度越小。地球物理学中的标准频率范围低于100 kHz,以达到高达几十米的穿透深度,而土壤电导是主要的影响因素。当使用无源RFID标签时,它们的接收功率以及随之而来的空气中检测范围会随频率而增长。用于媒体检测的频率折衷范围为10-50 MHz,其中授权的RFID频率为13.56 MHZ。在此范围内,弱盐土壤中的波数主要取决于介质的介电常数(请参阅附录A)。在本文中,我们根据标准偏差和相应的偏差(直至两个不确定参数)的穿透深度和激活场来计算标签埋入深度的估计精度。实验室实验提供了支持所选模型的结果。

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