Pattern Reconstruction for Antennas with Characteristic Mode Analysis and Surrogate Model
DOI:
https://doi.org/10.13052/2022.ACES.J.370303Keywords:
Bayesian inference, characteristic mode analysis, pattern synthesis, polynomial chaos expansionAbstract
A novel approach is applied to obtain a desired pattern for a perfect electric plate with two ports. The location of ports is decided with the help of characteristic mode analysis. Two capacitive coupling elements are chosen to be used as excitation. The magnitude and phase of each excitation are obtained by the Bayesian inference method. In order to avoid complexity of computational design, a surrogate model, which is based on polynomial chaos expansion, is built. The surrogate model is ensured to mimic the computational model over 90%. Then, the desired pattern is compared with the synthesized one, and it is seen that the two patterns fit very well to each other and the correlation between the two patterns is above 0.9.
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