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Free-Space Permittivity Measurement at Terahertz Frequencies With a Vector Network Analyzer

机译:矢量网络分析仪以太赫兹频率测量自由空间介电常数

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A simple system, based on a vector network analyzer, has been used with new numerical de-embedding and parameter inversion techniques to determine the relative permittivity (dielectric properties) of materials within the frequency range 750-1100 GHz. Free-space (noncontact), nondestructive testing has been performed on various planar dielectric and semiconducting samples. This system topology is well suited for quality control testing in an industrial setting requiring high throughput. Scattering parameters, measured in the absence of a sample, were used to computationally move the measurement plane to the surface of the samples being characterized. This de-embedding process can be completed much faster than a traditional calibration process and does not require exact knowledge of system geometric lengths. An iterative method was developed for simultaneously determining both sample geometric thickness and electric permittivity, through calculation of theoretical scattering parameters at material boundaries. A constrained nonlinear optimization process was employed to minimize the discrepancy between measured transmission and reflection data with this simulated data, in lieu of a closed-form parameter inversion algorithm. Monte Carlo simulations of parameter retrieval in the presence of artificial noise have demonstrated our method's robustness and superior noise rejection compared with a noniterative method. The precision of derived results has been improved by a factor of almost 50, compared to a closed-form extraction technique with identical input.
机译:一个基于矢量网络分析仪的简单系统已与新的数字去嵌入和参数反演技术一起使用,以确定750-1100 GHz频率范围内材料的相对介电常数(介电特性)。已对各种平面电介质和半导体样品进行了自由空间(非接触式),无损检测。该系统拓扑非常适合要求高吞吐量的工业环境中的质量控制测试。在没有样品的情况下测量的散射参数用于将测量平面计算移动到要表征的样品表面。该去嵌入过程可以比传统的校准过程更快地完成,并且不需要确切了解系统几何长度。通过计算材料边界处的理论散射参数,开发了一种同时确定样品几何厚度和介电常数的迭代方法。代替封闭形式的参数反演算法,采用约束非线性优化过程来最小化使用此模拟数据测得的透射和反射数据之间的差异。在存在人工噪声的情况下对参数检索进行的蒙特卡洛模拟证明,与非迭代方法相比,该方法具有较强的鲁棒性和出色的噪声抑制能力。与具有相同输入的闭式提取技术相比,导出结果的精度提高了近50倍。

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