Machine vision assisted online array state code optimization Method for 1-bit Programmable Metasurface

被引：0

作者：

Zhao, Hanting ^{[1
]}

Wang, Zhuo ^{[1
]}

Zhang, Hongrui ^{[1
]}

Wei, Menglin ^{[1
]}

Jiang, Siyuan ^{[1
]}

Li, Lianlin ^{[1
]}

机构：

[1] Peking Univ, Dept Elect, Beijing, Peoples R China

来源：

2021 IEEE MTT-S INTERNATIONAL MICROWAVE WORKSHOP SERIES ON ADVANCED MATERIALS AND PROCESSES FOR RF AND THZ APPLICATIONS (IMWS-AMP) | 2021年

关键词：

metasurface; online; 1-bit;

D O I：

10.1109/IMWS-AMP53428.2021.9643896

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Reconfigurable intelligent metasurface has drawn much attention owing to its potential for supporting ambient communication and EM imaging and sensing services. All these various indoor services based on the manipulation of indoor EM field distribution desire for a fast-online coding optimization algorithm to focus the energy in a complex environment. In this paper, we present a machine vision assisted online array state code optimization algorithm, which obtains the array state code ground on the acquisition of the receiver's antenna 3d position with a binocular camera for real-time energy focusing. The measured data show that in a complex EM environment, we can get 10-20dB power enhancement at any target point, to avoid the influences of path loss, fast fading, and lognormal shadowing.

引用

页码：364 / 366

页数：3