Modified Gerchberg-Saxton iterative algorithm for reflectarray metasurface multibeam pattern synthesis

Meng, Xiaomin, Young, Rupert and Nekovee, Maziar (2022) Modified Gerchberg-Saxton iterative algorithm for reflectarray metasurface multibeam pattern synthesis. VTC2022-Spring, Helsinki, Finland, 19 - 22nd June 2022. Published in: IEEE Enabling Technologies for Terahertz Communications (ETTCOM). IEEE (Accepted)

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Abstract

This paper presents a modified Gerchberg-Saxton (GS) iterative algorithm applied to the pattern synthesis of reconfigurable intelligent surfaces (RIS). Specifically, a scalar Fresnel-like transform pair that is specifically designed to fulfill the demands of RIS applications is developed; this transform pair allows the farfield to be expressed in angular terms, while the nearfield remains in the planar form. The paper presents analytical and full-wave results that are based on a 108 GHz liquid crystal (LC)-based 20x20 reconfigurable reflectarray metasurface model, which is intended for applications in THz wireless communications. The synthesized beams presented include: amplitude-variable four-beam multibeam, seven-beam vortex multibeam, and circular beam. Compared to traditional beam synthesis methods, such as the genetic algorithm (GA) and the particle swarm optimization (PSO), the modified GS algorithm proved to be much faster in performing RIS beam synthesis. Additionally, GS also has the additional advantage of not needing a meticulously designed analytical cost function to perform effectively.

Item Type: Conference Proceedings
Additional Information: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Schools and Departments: School of Engineering and Informatics > Engineering and Design
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 09 May 2022 09:52
Last Modified: 09 May 2022 10:23
URI: http://sro.sussex.ac.uk/id/eprint/105770

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