Noise temperature measurement uncertainty analysis using Monte Carlo simulations

Noise temperature measurement uncertainty is analyzed for a commercial noise measurement system. The system noise equation is used with measured data sets to develop a program to determine the receiver parameter uncertainties through the use of a Monte Carlo (MC) simulation, a non-linear fitting routine, and an uncertainty extraction routine. Noise temperature uncertainty results are presented for both correlated and uncorrelated underlying uncertainties. In addition, the dependence of the noise temperature uncertainty on receiver parameter uncertainties is also explored and the most significant results are presented.