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Evaluation of mismatch uncertainty in microwave power sensor calibration using Monte-Carlo method

机译:使用蒙特卡洛方法评估微波功率传感器校准中的失配不确定性

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The mismatch uncertainty in microwave power sensor calibration system is analyzed. Propagation of uncertainties from the reflection coefficients in real and imaginary format are considered. Monte Carlo method (MCM) is used to estimate the probability distribution function (PDF) of the mismatch factor, which is found to be non-Gaussian for small reflection coefficient values. The mismatch uncertainties estimated using MCM for various reflection coefficient values are larger than those obtained by the method recommended in the Guide to the Expression of Uncertainty in Measurement (GUM). This study shows that MCM gives more reliable mismatch uncertainty estimation than a conventional GUM method in microwave power sensor calibration.
机译:分析了微波功率传感器校准系统中的失配不确定性。考虑了实数和虚数格式的反射系数对不确定性的传播。蒙特卡罗方法(MCM)用于估计失配因子的概率分布函数(PDF),对于较小的反射系数值,失配因子被发现为非高斯分布。使用MCM估算的各种反射系数值的失配不确定性大于通过《测量不确定度表示指南》(GUM)中推荐的方法获得的失配不确定性。这项研究表明,在微波功率传感器校准中,MCM比常规GUM方法提供了更可靠的失配不确定性估计。

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