In compact range antenna measurement chambers, two of the most important quality criteria are the quiet-zone taper and ripple. The exact feed antenna position and orientation has an influence on these parameters. To quantify the effect of uncertainties in the feed antenna mounting, classical MonteCarlo (MC) simulations are often not feasible, as they require a huge computational effort. This problem is solved by applying the polynomial chaos expansion (PCE) to build a surrogate model of the system response. With given feed mounting uncertainties, the probability density function of quality criteria can be calculated from data obtained from much less full-wave simulations than would be necessary for a MC approach. This enabled the creation of a reliable statistical antenna measurement chamber qualification within a short amount of time.
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