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Robust Extraction of Frequency-Dependent Dielectric Properties from Time Domain Reflectometry

机译:从时域反射仪中稳健地提取频率相关介电特性

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Most dielectric spectroscopy techniques require careful system calibration, tedious measurement, specially designed probes, precise input source and some even involved complicated inversion models. This study presented two robust and model-free signal processing approach to extract frequency-dependent dielectric properties from time domain reflectometry (TDR), namely phase velocity analysis (PVA) and multiple reflection analysis (MRA). PVA determines frequency-dependent apparent dielectric permittivity (ADP) from the top and end reflections in TDR signal. MRA encompasses all multiple reflections of TDR signal to measure the complex dielectric permittivity (CDP) spectrum. This innovative approach involves decomposing the first top reflection and the subsequent multiple reflections from TDR signal, comparing their spectral MRA-ratio and inverting the frequency-dependent CDP from the measured MRA-ratio. Both their reliability were evaluated numerically and experimentally from 10MHz-IGHz. Since they are independent of source function and preceding system mismatches, dielectric spectroscopy can be conveniently conducted in laboratory and field, without complicated system setup and calibration.
机译:大多数介电谱技术要求仔细的系统校准,繁琐的测量,特殊设计的探头,精确的输入源,甚至还涉及复杂的反演模型。这项研究提出了两种鲁棒且无模型的信号处理方法,可从时域反射仪(TDR)提取频率相关的介电特性,即相速度分析(PVA)和多反射分析(MRA)。 PVA根据TDR信号的顶部和末端反射来确定频率相关的视在介电常数(ADP)。 MRA涵盖了TDR信号的所有多次反射,以测量复介电常数(CDP)频谱。这种创新方法涉及分解来自TDR信号的第一个顶部反射和随后的多个反射,比较它们的频谱MRA比率,并从测得的MRA比率反转与频率相关的CDP。从10MHz-IGHz数值和实验上评估了它们的可靠性。由于它们与源函数和先前的系统失配无关,因此可以在实验室和现场方便地进行介电谱,而无需进行复杂的系统设置和校准。

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