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首页> 外文期刊>Advances in Science, Technology and Engineering Systems >Evaluation of Uncertainty Measurement Calculation for Vector Network Analyzer From 300 kHz to 8.5 GHz
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Evaluation of Uncertainty Measurement Calculation for Vector Network Analyzer From 300 kHz to 8.5 GHz

机译：从300 kHz到8.5 GHz的矢量网络分析仪对不确定度测量计算的评估

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Increasing the telecommunications products that allow Vector Network Analyzer is becoming more common tools to measure the S-Parameter. It will be an absolute number from the S-Parameter measurements produced in real and imaginary, other words it is also known as the product of the calculation. The calculation findings do not include the systematic and random errors. It’s the reaction of the engineer to mitigate the likelihood of random and systemic errors. One of the common random error solutions is through the statistical analysis in the Vector Network Analyzer either repeated measurement or turn on high averaging measurement. The more data assessed, the greater the engineer’s confidence in evaluating random errors did not contribute significant errors. Systemic Error is consistent and reproducible when the measurement is made. One way of harmonizing these errors is to evaluate uncertainty measurements in the calculation for Vector Network Analyzer to perform measurements of reflection and transmission. Transmission measurements produce the three systematic errors that were directivity, source match and frequency response reflection tracking. This paper will concentrate from 300 kHz to 8.5 GHz directivity experimental to determine the accuracy of the Vector Network Analyzer. The experimental results will check balance with the Vector Network Analyzer specification. It is a validation process to ensure the Vector Network Analyzer meets the specification in order to perform an accurate measurement. The estimation of measurement uncertainty also refers to the Metrology 100 series Joint Committee for Guide to the Expression of Uncertainty in Measurement. The uncertainty expended should apply to Student Table’s confident level of 95%. It creates awareness to demonstrate the importance of measurement quality associated with the uncertainty, particularly for an ISO17025:2017 certified competence testing and calibration laboratory. Without the uncertainty associate to the measurement, it is not complying to the standard ISO17025:2017.
机译：增加允许传染媒介网络分析仪正在成为测量S参数的更常用工具的电信产品。它将是从真实和虚构的S参数测量中产生的绝对数，其他单词也称为计算的乘积。计算结果不包括系统和随机的错误。这是工程师减轻随机和系统错误的可能性的反应。其中一个常见的随机误差解决方案是通过矢量网络分析仪中的统计分析重复测量或开启高平均测量。评估的数据越多，工程师对评估随机误差的置信越大没有贡献重大错误。在进行测量时，系统误差是一致的和可重复的。协调这些错误的一种方法是评估矢量网络分析仪的计算中的不确定性测量，以执行反射和传输的测量。传输测量产生了指向性，源匹配和频率响应反射跟踪的三种系统误差。本文将集中于300 kHz至8.5 GHz方向性实验，以确定矢量网络分析仪的准确性。实验结果将使用矢量网络分析仪规范检查余额。它是一种验证过程，以确保矢量网络分析器满足规范，以便执行准确的测量。测量不确定性的估计也是指计量在测量中表达不确定性的指南的Metrology 100系列联合委员会。花费的不确定性应该适用于学生表的自信水平为95％。它创造了展示与不确定性相关的测量质量的重要性的意识，特别是对于ISO17025：2017认证的能力测试和校准实验室。如果没有不确定的关联，它不符合标准ISO17025：2017。

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