加权最小二乘VNA标定的不确定度分析

K. Wong
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引用次数: 29

摘要

矢量网络分析仪(VNA)的测量精度在很大程度上取决于校准标准的准确性和所采用的校准方法。随着校准标准的质量和精度达到技术极限,校准方法的进步使VNA测量不确定度降低。其中一个新的进展是加权最小二乘法。本文对该方法进行了详细的分析,并与传统的校准方法进行了不确定度的比较。同时,对不同不确定度分析方法的结果进行了检验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uncertainty analysis of the weighted least squares VNA calibration
Vector network analyzer, VNA, measurement accuracy depends largely on the accuracy of the calibration standards and the calibration method employed. With the quality and accuracy of calibration standards now reaching a technological limit, advances made in calibration methodology has pushed VNA measurement uncertainty lower. One of the new advances is the weighted least squares method. This paper presents a detailed analysis of this method and shows how the uncertainties of this calibration method compare with the more traditional calibration methods. Also, results of different uncertainty analysis approaches are examined.
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