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Influence of Nonideal Calibration Items on S-Parameter Uncertainties Applying the SOLR Calibration Method

机译:使用SOLR校准方法的非理想校准项目对S参数不确定性的影响

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For the seven-term, short–open–load–reciprocal (SOLR) calibration method to calibrate a four-sampler vector network analyzer (VNA), the expressions for the deviations of the seven error terms and of the measured S-parameters of two-port test objects from their true values are presented; these deviations are caused by the deviations of the reflections of the calibration elements (shorts, opens, and loads) from their ideal values. For the SOLR calibration, a reciprocal unknown network is used instead of a known through. The influence of a slightly nonreciprocal network on both the error term and the S-parameter deviations is also considered. The obtained sensitivity coefficients are useful for establishing the type-B uncertainty budget for S-parameter measurements. Moreover, the results give valuable information for the design of the calibration elements.
机译:对于用于校准四采样器矢量网络分析仪(VNA)的七项短时空载互易(SOLR)校准方法,七个误差项和两个S的实测S参数的偏差表达式呈现端口测试对象的真实值;这些偏差是由校准元件的反射(短路,断开和负载)与其理想值的偏差引起的。对于SOLR校准,使用互易未知网络代替已知直通网络。还考虑了一点不可逆的网络对误差项和S参数偏差的影响。获得的灵敏度系数对于建立用于S参数测量的B型不确定性预算很有用。而且,结果为校准元件的设计提供了有价值的信息。

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