Estimation of Small Antenna Performance Using a Machine Learning Approach - Archive ouverte HAL
Conference Papers Year : 2021

Estimation of Small Antenna Performance Using a Machine Learning Approach

Abstract

This paper presents an approach based on Machine Learning (ML) to estimate the performance of small antennas in practical applications. As a proof of concept, the case of printed antennas integrated into compact terminals, such as for Internet of Things (IoT) or 5G applications, is considered.
No file

Dates and versions

hal-02515496 , version 1 (23-03-2020)

Identifiers

Cite

Julian Roqui, Luca Santamaria, Lyes Khacef, Alain Pegatoquet, Leonardo Lizzi. Estimation of Small Antenna Performance Using a Machine Learning Approach. 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEE, Jul 2020, Montreal, Canada. pp.581-582, ⟨10.1109/IEEECONF35879.2020.9330405⟩. ⟨hal-02515496⟩
181 View
0 Download

Altmetric

Share

More