Abstract
Efficient prediction of embedded element patterns (EEPs) is including the mutual coupling (MC) effects in the optimization of irregular planar arrays is studied for the first time in the literature. An ANN-based methodology is used to predict the pattern of each element in the whole visible space for a flexible planar array topology in milliseconds. The technique is proposed is validated on a 4-element planar non-uniform sub-array structure. Excellent accuracy on the EEP prediction while providing great efficiency in computational time and load in comparison to the full-wave simulations is demonstrated.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2023 17th European Conference on Antennas and Propagation (EuCAP) |
| Publisher | IEEE |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Electronic) | 9788831299077 |
| ISBN (Print) | 978-1-6654-7541-9 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | EuCAP 2023: 17th European Conference on Antennas and Propagation (EuCAP) - Florence, Italy Duration: 26 Mar 2023 → 31 Mar 2023 Conference number: 17th |
Publication series
| Name | 17th European Conference on Antennas and Propagation, EuCAP 2023 |
|---|
Conference
| Conference | EuCAP 2023 |
|---|---|
| Country/Territory | Italy |
| City | Florence |
| Period | 26/03/23 → 31/03/23 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- artificial neural network (ANN)
- embedded element pattern (EEP)
- irregular antenna array
- mutual coupling (MC)
- phased array antenna