Simultaneously Intelligent Sensing and Beamforming Based on an Adaptive Information Metasurface

Bibliographic Details
Title: Simultaneously Intelligent Sensing and Beamforming Based on an Adaptive Information Metasurface
Authors: Rui Zhe Jiang, Qian Ma, Ze Gu, Jing Cheng Liang, Qiang Xiao, Qiang Cheng, Tie Jun Cui
Source: Advanced Science, Vol 11, Iss 7, Pp n/a-n/a (2024)
Publisher Information: Wiley, 2024.
Publication Year: 2024
Collection: LCC:Science
Subject Terms: adaptive metasurface, information metasurface, intelligent sensing, intelligent wave manipulation, physical layer, Science
More Details: Abstract Due to its ability to adapt to a variety of electromagnetic (EM) environments, the sensing‐enabled metasurface has garnered significant attention. However, large‐scale EM‐field sensing to obtain more information is still very challenging. Here, an adaptive information metasurface is proposed to enable intelligent sensing and wave manipulating simultaneously or more specifically, to realize intelligent target localization and beam tracking adaptively. The metasurface is composed of an array of meta‐atoms, and each is loaded with two PIN diodes and a sensing‐channel structure, for polarization‐insensitive and programmable beamforming and sensing. By controlling the state of the PIN diode, the proposed meta‐atom has 1‐bit phase response in the designed frequency band, while the sensing loss keeps higher than ‐10 dB for both “ON” and “OFF” states. Hence there is nearly no interaction between the beamforming and sensing modes. Experiments are conducted to show multiple functions of the metasurface, including intelligent target sensing and self‐adaptive beamforming, and the measured results are in good agreement with the numerical simulations and theoretical calculations.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2198-3844
Relation: https://doaj.org/toc/2198-3844
DOI: 10.1002/advs.202306181
Access URL: https://doaj.org/article/7e5ab4801e3a4261ab8088ca6a803e89
Accession Number: edsdoj.7e5ab4801e3a4261ab8088ca6a803e89
Database: Directory of Open Access Journals
More Details
ISSN:21983844
DOI:10.1002/advs.202306181
Published in:Advanced Science
Language:English