Ka-Band metalens antenna empowered by physics-assisted particle swarm optimization (PA-PSO) algorithm

Design of multiple-feed lens antennas requires multivariate and multi-objective optimization processes,which can be ac-celerated by PSO algorithms.However,the PSO algorithm often fails to achieve optimal results with limited computation resources since spaces of candidate solutions are quite large f...

Full description

Saved in:
Bibliographic Details
Published inOpto-Electronic Science Vol. 3; no. 10; p. 240014
Main Authors Jiang, Shibin, Deng, Wenjun, Wang, Zhanshan, Cheng, Xinbin, Tsai, Din Ping, Shi, Yuzhi, Zhu, Weiming
Format Journal Article
LanguageEnglish
Published School of Optoelectronic Science and Engineering,University of Electronic Science and Technology of China,Chengdu 610051,China%Institute of Precision Optical Engineering,School of Physics Science and Engineering,Tongji University,Shanghai 200092,China%Department of Electrical Engineering,City University of Hong Kong,Hong Kong 999077,China 01.10.2024
Editorial Office of Opto-Electronic Journals, Institute of Optics and Electronics, CAS, China
Subjects
Online AccessGet full text
ISSN2097-0382
DOI10.29026/oes.2024.240014

Cover

More Information
Summary:Design of multiple-feed lens antennas requires multivariate and multi-objective optimization processes,which can be ac-celerated by PSO algorithms.However,the PSO algorithm often fails to achieve optimal results with limited computation resources since spaces of candidate solutions are quite large for lens antenna designs.This paper presents a design paradigm for multiple-feed lens antennas based on a physics-assisted particle swarm optimization(PA-PSO)algorithm,which guides the swarm of particles based on laws of physics.As a proof of concept,a design of compact metalens an-tenna is proposed,which measures unprecedented performances,such as a field of view at±55°,a 21.7 dBi gain with a flatness within 4 dB,a 3-dB bandwidth>12°,and a compact design with a f-number of 0.2.The proposed PA-PSO algo-rithm reaches the optimal results 6 times faster than the ordinary PSO algorithm,which endows promising applications in the multivariate and multi-objective optimization processes,including but not limited to metalens antenna designs.
ISSN:2097-0382
DOI:10.29026/oes.2024.240014