Beamforming Algorithm for Digital Coding Metasurface and Its Verification

Rui Wen Shao, Han Qing Yang, Jun Pu Shi, Zi Chan Li, Zheng Xing Wang, Jun Wei Wu, Xin Gang Xie

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

As an emerging technology, digital coding metasurfaces have attracted wide attention due to their remarkable capabilities in controlling electromagnetic waves. Since the transmissive/reflective phases of digital-coding metasurfaces have finite states, the quantization effect must be considered in determining the coding strategies. In traditional approach, one directly optimizes continuous phases and then quantizes the results, obtaining the discrete codes that are impressed on the metasurfaces. The quantization errors of such a two-step approach inevitably increase the highest side lobe level (HSLL) of beam patterns produced by the digital coding metasurfaces. To tackle the problem, we use phase sensitivity analysis and descent algorithm to reduce the HSLL. An exemplary application of the algorithm is presented, wherein the phase coding of an 8×8 2-bit metasurface in the Ku band is optimized. Good results are achieved in numerical calculations, full-wave simulations, and experimental measurements, showing the validity of the pro-posed approach. The approach will promote the development of analysis and design technology of the digital coding metasurfaces. © 2025 ACES.
Original languageEnglish
Title of host publication2025 International Applied Computational Electromagnetics Society Symposium (2025 ACES-Orlando)
PublisherIEEE
Number of pages2
ISBN (Electronic)978-1-7335096-9-5
ISBN (Print)979-8-3315-0322-2
DOIs
Publication statusPublished - 2025
Event2025 International Applied Computational Electromagnetics Society Symposium (2025 ACES-Orlando) - Orlando, United States
Duration: 18 May 202521 May 2025

Conference

Conference2025 International Applied Computational Electromagnetics Society Symposium (2025 ACES-Orlando)
PlaceUnited States
CityOrlando
Period18/05/2521/05/25

Funding

This work was supported by the National Key Research and Development Program of China (2021YFA1401002).

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