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On the optimal sampling strategy for model-based parameter estimation using rational functions

We investigate several sampling strategies in performing model-based parameter estimation based on the rational function model. They are: i) uniform-like sampling; ii) random sampling; and iii) sampling based on the Fisher information theory. The sampling strategies are implemented for the calculation of the input impedance of an antenna over a broad frequency range. The model parameters of the rational functions are found by the Cauchy method. The results are evaluated against the optimal sampling solution obtained by a genetic algorithm search.