Abstract
A novel class of dielectric lens antennas is presented and detailed in this work. The geometry of the considered radiating elements is described by the Gielis formula which provides an effective means for describing a very broad variety of shapes by acting on a reduced number of parameters. This translates into the possibility of automatically reshaping the lens profile. Since the antenna radiation properties strongly depend on the geometry of lens, an automated optimization procedure could be devised, in order to identify the Gielis parameters, yielding the optimum antenna performance. To this end, a hybrid semi-analytical electromagnetic modelling approach, based on geometrical and physical optics, is used in combination with an enhanced quantum particle swarm optimization procedure to synthesize the optimal lens shape, and select the relevant dielectric material characteristics and feeding structure useful for matching an assigned radiation pattern mask. To assess the effectiveness and versatility of the proposed lens antenna synthesis approach, a dedicated investigation is conducted using rigorous full-wave electromagnetic analysis tools.
| Original language | English |
|---|---|
| Title of host publication | Dielectric Materials and Applications |
| Editors | Pankaj K. Choudhury |
| Publisher | Nova Science |
| Chapter | 6 |
| Pages | 201-225 |
| Number of pages | 25 |
| ISBN (Electronic) | 9781536153170 |
| ISBN (Print) | 9781536153163 |
| Publication status | Published - Jul 2019 |