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This paper describes a data-driven method to model the radiation patterns (over a large angular region) and scattering parameters of antennas as a function of the geometry of the antenna. The radiation pattern model consists of a linear combination of characteristic basis function patterns (CBFPs), where the expansion coefficients of the CBFPs are the functions of geometrical features of the antenna. Scattering parameters are modeled by means of parameterized state-space matrices. The obtained models are quick to evaluate and are thus suitable for design activities where multiple simulations are required. The proposed method is validated through illustrative examples.

This paper presents a wideband pyramidal sinuous antenna, over a conducting ground plane, for use as a reflector antenna feed. Specific attention is given to comparisons with a similar structure where the sinuous shape is instead projected onto a cone. The pyramidal structure is significantly simpler to manufacture, and measured results confirms this where close agreement with simulations is observed.

We present a fully automated method to predict the full radiation patterns and S-parameters of antennas over a large frequency bandwidth using the knowledge of the simulated results at a few frequency points. The frequency points are adaptively selected in regions of fast variations of radiation pattern and S-parameters, as well as in large unsampled regions. The method has a built-in absolute error control measure and is guaranteed to converge to an accurate model in a modest number of iterations. The proposed method is validated through pertinent examples.

We present a robust method to predict full radiation patterns over a large frequency bandwidth using the knowledge of the pattern at a few frequency points. The frequency points are selected adaptively such that a set of linearly independent basis functions, called characteristic basis function patterns (CBFPs), is obtained. The model consists of a linear combination of CBFPs where expansion coefficients are parameterized with respect to frequency and interpolated to accurately yield the radiation pattern at a desired frequency within the bandwidth of interest. The method has a built-in absolute error control, given by the ratio of the smallest and largest singular values of the column-stacked matrix of CBPFs, providing a trade-off between accuracy and complexity of the model. The proposed method is validated through illustrative examples.