Self-adaptive metasurface platform based on computer vision

被引：21

作者：

Yu, Qian ^{[1
]}

Zheng, Yi Ning ^{[1
]}

Gu, Ze ^{[1
]}

Liu, Jia ^{[1
]}

Liang, Yu Chen ^{[1
]}

Li, Lin Zhou ^{[1
]}

Zhang, Xin Ge ^{[1
]}

Jiang, Wei Xiang ^{[1
]}

机构：

[1] Southeast Univ, Sch Informat Sci & Engn, State Key Lab Millimeter Waves, Nanjing 210096, Peoples R China

来源：

OPTICS LETTERS | 2021年 / 46卷 / 15期

基金：

中国国家自然科学基金;

关键词：

CLOAK;

D O I：

10.1364/OL.427527

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Programmable metasurfaces allow real-time electromagnetic (EM) manipulation in a digital manner, showing great potential to construct advanced multifunctional EM devices. However, the current programmable metasurfaces typically need human participation to achieve various EM functions. In this Letter, we propose, design, and construct a self-adaptive metasurface platform that can achieve beam control automatically based on image recognition. Such a platform is composed of a metasurface with 36 x 36 active units, a single-board computer, and two independent cameras that can detect the position of the objects. The single-board computer, Raspberry Pi, is used to calculate the information of the objects and generate the coding sequences to control the digital metasurface based on a low complexity binocular localization algorithm. Such a smart metasurface platform can generate different beams according to the location of the receiver and can be used as intelligent antennas in future communications and radars. (C) 2021 Optical Society of America

引用

页码：3520 / 3523

页数：4