Abstract
Artificial neural networks (ANN) are applied to find appropriate phasing for beam steering of patch antenna arrays. To obtain this goal, an ANN is trained using simulated far-field data. Two loss functions are tested and their performance is compared with a uniform and a non-uniform antenna array. The results show that in most cases both tested loss functions perform well, but are not able to find the best solution in all cases.
| Original language | English |
|---|---|
| Title of host publication | 18th European Conference on Antennas and Propagation, EuCAP 2024 |
| Publisher | IEEE |
| ISBN (Print) | 979-8-3503-9443-6 |
| DOIs | |
| Publication status | Published - 2024 |
| MoE publication type | A4 Conference publication |
| Event | European Conference on Antennas and Propagation - Glasgow, United Kingdom Duration: 17 Mar 2024 → 22 Mar 2024 Conference number: 18 |
Conference
| Conference | European Conference on Antennas and Propagation |
|---|---|
| Abbreviated title | EuCAP |
| Country/Territory | United Kingdom |
| City | Glasgow |
| Period | 17/03/2024 → 22/03/2024 |
Keywords
- antenna
- antenna array
- artificial neural network
- beam steering
- machine learning
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Aalto Electronics-ICT
Ryynänen, J. (Manager)
Department of Electronics and NanoengineeringFacility/equipment: Facility