This paper explores the expanded applications of a circular passive Huygens metasurface encasing a wire antenna. It focuses on designing a cylindrical metasurface around a dipole antenna to engineer and control the system directivity leveraging a genetic algorithm-based optimization tools. The tool's effectiveness is verified through the design of an ideal metasurface coating that introduces beamforming capabilities, validated through numerical simulations.
Longhi, M., Vellucci, S., Barbuto, M., Monti, A., Bilotti, F., Toscano, A. (2024). Machine learning-based design of meta-covers for linear antenna beam-shaping. In 2024 IEEE International Workshop on Technologies for Defense and Security, TechDefense 2024 - Proceedings (pp.206-210). Institute of Electrical and Electronics Engineers Inc. [10.1109/techdefense63521.2024.10862998].
Machine learning-based design of meta-covers for linear antenna beam-shaping
Vellucci, Stefano;Barbuto, Mirko;Monti, Alessio;Bilotti, Filiberto;Toscano, Alessandro
2024-01-01
Abstract
This paper explores the expanded applications of a circular passive Huygens metasurface encasing a wire antenna. It focuses on designing a cylindrical metasurface around a dipole antenna to engineer and control the system directivity leveraging a genetic algorithm-based optimization tools. The tool's effectiveness is verified through the design of an ideal metasurface coating that introduces beamforming capabilities, validated through numerical simulations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
