Fast surrogate models are crucially important to reduce the cost of design process of antenna structures. Due to curse of dimensionality, standard (data-driven) modeling methods exhibit serious limitations concerning the number of independent geometry parameters that can be handled but also (and even more importantly) their parameter ranges. In this work, a design-oriented modeling framework is proposed in which the surrogate is constructed in the region of interest defined by a set of reference designs, optimized with respect to user-selected figures of interest (e.g., operating frequencies, substrate permittivity, etc.). The model domain is spanned by the simplexes obtained by triangulation of the reference designs, further extended into their orthogonal complements. Constraining the surrogate model domain this way allows for considerable reduction of the number of training data samples necessary to build the model, as compared to the traditional approach where the sampling is normally performed over a hypercube defined by the lower/upper bounds of the antenna parameters. Our considerations are illustrated using two examples: a UWB monopole, and a dual-band patch antenna.
Authors
- prof. dr inż. Sławomir Kozieł link open in new tab ,
- A Sigurosson
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1049/cp.2018.1053
- Category
- Aktywność konferencyjna
- Type
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language
- angielski
- Publication year
- 2018