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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标签将埋地物体定位在土壤中:协议描述和参数估计与媒体中振荡磁场的模型

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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:本文介绍了一种本地化协议,它在现有的方法中填补了差距,例如基于归纳勘探的地面穿透雷达或方法。该原理是将射频识别(RFID)标签附加到埋在非磁性土壤中的非金属物体对象,并推导到掩埋标签和RFID天线之间的近场状态下的磁感应深度。土壤中的电磁繁殖已经在地球物理中进行了广泛研究。频率越高,渗透深度越低。地球物理的标准频率范围低于100kHz,达到渗透深度高达几十米,土壤电导是主要的影响因素。在使用被动RFID标签时,其接收的功率,并且因此,空气中的检测范围随频率而生长。媒体检测的频率折衷位于10-50 MHz的范围内,其中授权的RFID频率为13.56 MHz。在该范围内,弱盐渍土中的波数基本上取决于中等介电介电常数(见附录A)。在本文中,我们在标准偏差和相应的偏置到两个不确定参数的相应偏差方面计算标签掩埋深度的估计精度 - 穿透深度和激活场。实验室实验提供支持所选模型的结果。

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