Combined analysis of systematic and random uncertainties for different noise-figure characterization methodologies

This paper presents a simulation tool for the rigorous analysis of the final uncertainty associated to different methodologies for noise figure characterization. The simulation tool permits the analysis of the combined effect of systematic errors and underlying uncertainties versus any significant characteristic of the DUT or measurement setup. Some application examples are presented showing the suitability of the proposed approach to determine the most efficient characterization methodology for a given DUT and measurement setup.