Applying Neural Networks for Predicting Feed Weights of an Antenna Array
Loading...
Access rights
openAccess
publishedVersion
URL
Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
Date
2024
Major/Subject
Mcode
Degree programme
Language
en
Pages
Series
18th European Conference on Antennas and Propagation, EuCAP 2024
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.Description
Publisher Copyright: © 2024 18th European Conference on Antennas and Propagation, EuCAP 2024. All Rights Reserved.
Keywords
antenna, antenna array, artificial neural network, beam steering, machine learning
Other note
Citation
Tyrväinen, J, Lehtovuori, A, Ylä-Oijala, P & Viikari, V 2024, Applying Neural Networks for Predicting Feed Weights of an Antenna Array . in 18th European Conference on Antennas and Propagation, EuCAP 2024 . IEEE, European Conference on Antennas and Propagation, Glasgow, United Kingdom, 17/03/2024 . https://doi.org/10.23919/EuCAP60739.2024.10501353