Best statistical method to compare S12 curves?
I have two sets of S12 curves: one representing the presence of a material between two antennas, and the other representing its absence (10 trials for each scenario).
Currently, I’m quantifying their distinguishability by taking the complex difference at each frequency point, extracting the magnitude, and calculating the RMSE.
Is this a standard approach in RF/microwave measurements? Are there more effective or robust statistical methods to quantify how distinct these two groups of curves are from one another?
P.S. To clean up the data, I’ve already de-embedded the cables and applied time-domain gating, but I also need to check whether they helped or not.
Your feedback would be highly appreciated!