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作 者:王敏[1] 赵永久[1] 周永刚[1] 贺莹[1] 邓宏伟[1]
机构地区:[1]南京航空航天大学雷达成像与微波光子技术教育部重点实验室,江苏南京210016
出 处:《电子学报》2016年第5期1085-1089,共5页Acta Electronica Sinica
基 金:国家自然科学基金(No.61471193);江苏省普通高校研究生科研创新计划(No.KYLX15-0284)
摘 要:虽然目前校准算法已趋成熟,但由于随机误差和剩余系统误差等的存在,矢量网络分析仪(Vector network analyzer,VNA)的测量结果不可避免地会有一定的不准确性.而现有的矢网测量不确定度评估算法中往往只考虑剩余系统误差,忽略了系统线性性能、线缆状态以及测试环境等因素.本文同时考虑了校准后剩余系统误差、系统非线性误差,随机误差及测量环境等因素,建立了整机测量不确定度模型,实现了矢量网络分析仪整机测量不确定度的评估.与现有矢网不确定度评估算法相比,本算法考虑的误差因素更为全面,评估结果更为可靠.利用误差上限传递思想推导出商用VNA散射参数测量不确定度评估公式,并提供了相应的参数获取方案.应用该算法对安捷伦8753ES矢量网络分析仪进行测量不确定度评估,并与安捷伦提供的技术数据进行对比,其结果数据吻合良好.Although the VNA calibration theory, at present, has been much mature, measurement uncertainty inevita- bly exists in practical measurement, due to random errors, linearization and measurement conditions, etc. In the existing VNA measurement uncertainty evaluation algorithms, only residual systematic error is considered, with the ignorance of the influ- ence of system's nonlinearity, random error caused by connector and cable performance and environment conditions. In this paper, four categories of measurement error are taken into account, including residual system error, system~ nonlinearity ,ran- dom error and environment conditions of the measurement. Thus the rational and complete model for uncertainty in measure- ment is put forward and the uncertainty evaluation method for complete measurement system of VNA is established. Com- pared with the current VNA measurement uncertainty evaluation algorithms, a more comprehensive consideration of error factors is presented in this algorithm, leading to more reliable assessment results. The formulae of the uncertainty of S-param- eter measurement are deduced in term of the theory of error limit transfer, and the corresponding method to get the error pa- rameters is given. The algorithm is applied to measurement uncertainty evaluation for the vector network analyzer Agilent 8573ES and the results are in great agreement with the technical data provided by Agilent.
分 类 号:TM931[电气工程—电力电子与电力传动]
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