Analytical and numerical modeling of reconfigurable reflecting metasurfaces with capacitive memory

NEW JOURNAL OF PHYSICS(2022)

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摘要
In this article, we develop analytical-numerical models for reconfigurable reflecting metasurfaces (MSs) formed by chessboard-patterned arrays of metallic patches. These patch arrays are loaded with varactor diodes in order to enable surface impedance and reflection phase control. Two types of analytical models are considered. The first model based on the effective medium approach is used to predict the MS reflectivity. The second model is the Bloch wave dispersion model for the same structure understood as a two-dimensional transmission line metamaterial. The latter model is used to study ways to suppress parasitic resonances in finite-size beamforming MSs. We validate the developed analytical models with full-wave numerical simulations. Finally, we propose a design of the MS control network with capacitive memory that allows for independent programming of individual unit cells of the beamforming MS.
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关键词
programmable metasurface, reconfigurable intelligent surface, mushroom surface, chessboard structure, wire medium, beamforming, transmission line metamaterial, Bloch waves
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