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General method of seven-term statistical calibration with partially defined standards

机译:具有部分定义的标准的七项统计校准的一般方法

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Calibration is essential for accurate high-frequency measurements with Vectorial Network Analyzer. Even though many methods have been already presented, they either base on some additional assumptions or allow to use limited type of standards. In this paper we describe a general seven-term calibration method, which accepts any combination of fully-known and partially defined calibration standards. The method combines symbolic formulation of the problem with its numerical solution. The calibration procedure has been evaluated in a broad frequency range of [0.5, 110] GHz using standards made of a PDMA container filled with different liquids. Air and water-based standards were considered as fully-known, since their parameters were obtained in simulation. However, for the ethanol-water mixture only parametrized model was provided. Calibration method was proven accurate, as the residual errors did not exceed 1.3e-3. It also allowed to determine the unknown parameters of the partially-defined standard. Method was also found very efficient, as its evaluation time was 0.62 s for a single frequency.
机译:校准对于使用矢量网络分析仪进行准确的高频测量至关重要。即使已经提出了许多方法,它们还是基于某些其他假设或允许使用有限类型的标准。在本文中,我们描述了一种通用的七项校准方法,该方法可以接受众所周知的和部分定义的校准标准的任何组合。该方法将问题的符号表示与其数值解结合起来。已使用填充有不同液体的PDMA容器制成的标准在[0.5,110] GHz的宽频率范围内对校准程序进行了评估。空气和水基标准品被认为是众所周知的,因为它们的参数是通过仿真获得的。但是,对于乙醇-水混合物,仅提供参数化模型。校准方法被证明是准确的,因为残留误差不超过1.3e-3。它还允许确定部分定义的标准的未知参数。还发现该方法非常有效,因为单个频率的评估时间为0.62 s。

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