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2017
Conference Paper
Titel
Polynomial chaos expansion as a tool to quantify the performance of the GeReLEO-SMART satellite antenna under uncertainty
Abstract
At Ka-band frequencies, small deviations in the antenna production process result in sub-optimal performance. Classically, Monte-Carlo methods are used to quantify the influence of those tolerances. In this application, Monte-Carlo simulations are not feasible due to the high computational effort and the high number of parameters to be considered. As an alternative, we use polynomial chaos expansion to create a surrogate model using very few full-wave simulations. This model predicts the influence of the production tolerances on the performance of the antenna. Measurements confirm the results of the polynomial chaos expansion method.