蒙特卡罗方法评定峰值检波器标定不确定度北大核心CSCD

针对高功率微波(HPM)脉冲测试用峰值检波器标定不确定度评估中测量函数非显式,直接测量量与被测量间概率分布传递困难等问题,研究建立了蒙特卡罗分析方法(MCM),利用有限带宽S参数网络时域响应计算原理建立了检波器标定系统的时域仿真模型,模型包含标定系统各微波器件S参数、检波电压、监测峰值功率等直接测量量,以及微波脉冲反射、叠加及传输延迟等物理过程。根据MCM原理对模型中各直接测量量引入特定分布的随机误差,通过重复计算,获得了检波器标定曲线的不确定度及其概率分布。

Evaluation of uncertainty in peak detector calibration based on Monte-Carlo method

As measurement function of evaluation of uncertainty in peak detector calibration for HPM test is an implicit function and transfer of the probability distribution of measurements is complicated, this paper evaluates the uncertainty in peak detector calibration based on Monte-Carlo method. A time-domain response calculation model of detector calibration system was founded by band-limited scatter parameters. The model contains the direct measurements, such as S-parameters of microwave devices, demodulation voltage, peak power and so on. The model can also calculate the pulse reflection, pulse superposition and time delay. This paper imports probability distribution of direct measurements into the model based on Monte-Carlo principle, and then gives the uncertainty and probability distribution of detector calibration curve by repeated calculation.