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...
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          | Published in | Opto-Electronic Science Vol. 3; no. 10; p. 240014 | 
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| Main Authors | , , , , , , | 
| Format | Journal Article | 
| Language | English | 
| 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  | 
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| Online Access | Get full text | 
| ISSN | 2097-0382 | 
| DOI | 10.29026/oes.2024.240014 | 
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| 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. | 
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| ISSN: | 2097-0382 | 
| DOI: | 10.29026/oes.2024.240014 |