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.