Optimization design of 1bit ultra-broadband coding metasurface for RCS reduction based on particle swarm optimization algorithm

doi:10.19936/j.cnki.2096-8000.20260328.013

Abstract

Abstract: The effective control of electromagnetic waves is crucial in cutting-edge fields such as modern wireless communication, intelligent sensing, and electronic counter measures. This paper proposes an optimization design method for coding metasurfaces based on a particle swarm optimization algorithm. The design utilizes carbon fiber composite surfaces coated with a graphene-copper mesh to suppress ultra-broadband backward scattering. The metasurface effectively reduces the radar cross-section by integrating scattering cancellation and vibration absorption mechanisms. Within the frequency range of 12 GHz to 40 GHz, two distinct unit cells of the metasurface exhibit a 180° reflection phase difference in both unit cells morphology and planar arrangement, accompanied by varying amplitude characteristics, achieving a broadband RCS reduction of 107.7% relative bandwidth. Furthermore, an unequal proportion design of the coding metasurface is employed to enhance the diffusion effect of backward-scattered waves at specific frequencies. The arbitrary coding sequences of unit cells are optimized using the PSO algorithm to achieve optimal unit cells arrangement. This novel coding metasurface enables high-frequency broadband microwave absorption, showcasing significant potential for applications in microwave absorption and electromagnetic shielding.

Key words: carbon fiber composite, coding metasurface, particle swarm optimization, RCS reduction, ultra-broadband

CLC Number:

TB332

LI Song, ZHOU Jinyu, WANG Peipei, WANG Xiaobo, YANG Fan, LIU Wenbo, WANG Rongguo. Optimization design of 1bit ultra-broadband coding metasurface for RCS reduction based on particle swarm optimization algorithm[J]. COMPOSITES SCIENCE AND ENGINEERING, 2026, 0(3): 110-120.

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