![]() ![]() The probability distributions of the design parameters are extracted from the measurement results obtained for a series of manufactured patch antenna arrays for three different frequencies in the C, X, and Ka bands. An analysis is performed for n257 and n258 frequency bands (24.5–28.7 GHz). ![]() For the first time, the author uses his analytical transformations to reduce the required number of highly time-consuming FDTD simulations for a given set of nominal values of the design parameters of the ordinary patch antenna. The Polynomial Chaos Expansion and FDTD computations are used to obtain the training and testing data for the Artificial Neural Network. The Artificial Neural Network is used to model the stochastic reflection coefficient of the antennas. In the paper, the author deals with modeling the stochastic behavior of ordinary patch antennas in terms of the mean and standard deviation of their reflection coefficient | S 11| under the geometrical uncertainty associated with their manufacturing process.
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