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Non Contact Estimation of the Dielectric Properties of Organic Material Using an Inductive RF Sensor and a Multifrequency Approach

机译:使用电感RF传感器的有机材料电介质特性的非接触估计和多频方法

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The paper reports on a numerical study aiming at assessing the influence of the frequency on the sensitivity of an inductive sensing method dedicated to the non contact dielectric characterization of organic materials. A three dimensional electromagnetic mesh-free modeling of the interactions between a single loop radio frequency antenna and a dielectric material mimicking a tissue (skin) shows that frequencies allowing a loss factor tanδ close to 1 in the material is particularly relevant to sense its complex permittivity. Moreover, the inverse problem which consists in estimating the complex permittivity of the material starting from the antenna impedance changes is carried out using an artificial neural network. Estimation results shows that a combination of three frequencies providing loss factors in the material such as tanδ = 1, tanδ1 and tanδ<;<;1 enable to significantly enhance the estimation of the dielectric properties, even if sensor positioning uncertainty is involved.
机译:本文报告了一种数值研究,旨在评估频率对专用于有机材料非接触介电表征的感应感测方法的灵敏度的影响。单个环路射频天线和模仿组织(皮肤)之间的电介质材料之间的相互作用的三维电磁网无模型表明,允许材料中接近1的损耗因子Tanδ的频率特别相关,以感测其复杂介电常数。此外,使用人工神经网络来执行由从天线阻抗改变开始估计从天线阻抗改变的复杂介电常数的逆问题。估计结果表明,三个频率提供诸如Tanδ= 1,Tanδ 1和Tanδ<; <1的频率提供损耗因子的组合,即使传感器定位不确定性也是显着提高电介质特性的估计。

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