1. On Rapid Re-Design of UWB Antennas with Respect to Substrate Permittivity
- Author
-
Adrian Bekasiewicz, Slawomir Koziel, Tækni- og verkfræðideild (HR), School of Science and Engineering (RU), Háskólinn í Reykjavík, and Reykjavik University
- Subjects
Engineering ,Surrogate modeling ,Antenna design ,Re design ,Loftnet ,02 engineering and technology ,inverse modeling ,Geometric scaling ,lcsh:Technology ,Substrate properties ,0202 electrical engineering, electronic engineering, information engineering ,Electronic engineering ,Computer Science::Information Theory ,antenna design ,Microwave studio ,Hönnun ,business.industry ,lcsh:T ,Hermilíkön ,020208 electrical & electronic engineering ,Electrical engineering ,020206 networking & telecommunications ,Inverse modeling ,surrogate modeling ,Substrate permittivity ,Simulation driven optimization ,Líkanagerð ,simulation-driven optimization ,geometry scaling ,business ,substrate properties - Abstract
Re-design of a given antenna structure for various substrates is a practically important issue yet non trivial, particularly for wideband and ultra-wideband antennas. In this work, a technique for expedited redesign of ultra-wideband antennas for various substrates is presented. The proposed approach is based on inverse surrogate modeling with the scaling model constructed for several reference designs that are optimized for selected values of the substrate permittivity. The surrogate is set up at the level of coarse-discretization EM simulation model of the antenna and, subsequently, corrected to provide prediction at the high-fidelity EM model level. The dimensions of the antenna scaled to any substrate permittivity within the region of validity of the surrogate are obtained instantly, without any additional EM simulation necessary. The proposed approach is demonstrated using an ultra-wideband monopole with the permittivity scaling range from 2.2 to 4.5. Numerical validation is supported by physical measurements of the fabricated prototypes of the re-designed antennas., The authors would like to thank Computer Simulation Technology AG, Darmstadt, Germany, for making CST Microwave Studio available. This work is partially supported by the Icelandic Centre for Research (RANNIS) Grant 141272051 and by National Science Centre of Poland Grant 2014/15/B/ST7/04683.
- Published
- 2016