A High-Precision Beamforming Reflectarray Using an Improved Hybrid PSO-GA Algorithm and Low-Coupling Element

Authors

  • Ren Jiawei Artificial Intelligence and Human Language Lab Beijing Foreign Studies University, Beijing 100089, China
  • Li Zuowen Artificial Intelligence and Human Language Lab Beijing Foreign Studies University, Beijing 100089, China

DOI:

https://doi.org/10.13052/2026.ACES.J.410305

Keywords:

Beamforming reflectarray, optimization, reflectarray antenna

Abstract

This paper proposes a high-precision cosecant square beamforming reflectarray using an improved hybrid Particle Swarm Optimization and Genetic Algorithm (PSO-GA) and low-coupling square ring element. Firstly, a novel hybrid PSO-GA algorithm is carried out to optimize the phase distribution of the high-precision beamforming reflectarray. Then, an element is presented whose reflection phase is insensitive to different incident angles and reflection amplitude stable with variations of element size. By using the above-mentioned methods, a high-precision beamforming reflectarray is designed and analyzed. The experimental results show well-defined cosecant squared beams in the predefined direction are achieved in the frequency range from 13.1 to 14.3 GHz and have low loss.

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Author Biographies

Ren Jiawei, Artificial Intelligence and Human Language Lab Beijing Foreign Studies University, Beijing 100089, China

Ren Jiawei was born in Hebei, China, in 1992. He received the B.S. degree from the Hebei University, Hebei, and the M.S. and Ph.D. degrees from the University of Chinese Academy of Sciences, Beijing, and Nation Space Science Center, Chinese Academy of Sciences, Beijing. His current research interests include reflectarray, microstrip antennas, lowloss antenna, and wideband antenna.

Li Zuowen, Artificial Intelligence and Human Language Lab Beijing Foreign Studies University, Beijing 100089, China

Li Zuowen is a professor and doctoral supervisor, currently serving as director of the Key Laboratory of Artificial Intelligence and Human Language at Beijing Foreign Studies University, China. He received his doctoral degree from Shanghai International Studies University and conducted post-doctoral research at Peking University. His current research interests include artificial intelligence and natural language processing.

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Published

2026-03-30

How to Cite

[1]
R. . Jiawei and L. . Zuowen, “A High-Precision Beamforming Reflectarray Using an Improved Hybrid PSO-GA Algorithm and Low-Coupling Element”, ACES Journal, vol. 41, no. 03, pp. 238–243, Mar. 2026.