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面向2.4 GHz工业场景的轻薄低损耗反射补偿型智能反射面

梁炜 卢艺 张嘉麟 夏晔 许驰

电讯技术2025,Vol.65Issue(5):777-783,7.
电讯技术2025,Vol.65Issue(5):777-783,7.DOI:10.20079/j.issn.1001-893x.240315002

面向2.4 GHz工业场景的轻薄低损耗反射补偿型智能反射面

A Lightweight and Low-loss Reflection Compensation-type Intelligent Reflection Surface for 2.4 GHz Industrial Scenarios

梁炜 1卢艺 2张嘉麟 1夏晔 1许驰1

作者信息

  • 1. 中国科学院沈阳自动化研究所机器人学国家重点实验室,沈阳 110016||中国科学院网络化控制系统重点实验室,沈阳 110016
  • 2. 中国科学院沈阳自动化研究所机器人学国家重点实验室,沈阳 110016||中国科学院网络化控制系统重点实验室,沈阳 110016||中国科学院大学,北京 100049
  • 折叠

摘要

Abstract

For the problem that the existing high-frequency band intelligent reflection surface(IRS)cannot meet the low cost and high reliability requirements of industrial applications,a lightweight and low-loss reflection compensation IRS is designed for 2.4 GHz industrial scenarios.A non-perforated metal layer structure is proposed.By adjusting the positions of the ground layer and bias layer,perforations are avoided,and electromagnetic energy loss is reduced.The top-layer patch is designed to form a three-piece symmetrical structure,which maximizes the resonance range of the two tunable devices,which effectively reduces the energy loss of the incident signal and provides sufficient phase span.The simulation results show that the reflection amplitude loss of the designed 2 mm thick IRS is less than 1.6 dB,and the reflection phase span is 296°.Compared with that of the existing prototype that can be applied to the 2.4 GHz frequency band,the reflection amplitude is increased by 61.9%at the same phase,and the reflection phase is increased by 5 times at the same amplitude.In addition,the designed prototype has high phase adjustability and stability.

关键词

工业无线网络/智能反射面(IRS)/微波仿真/非视距通信/反射补偿

Key words

industrial wireless network/intelligent reflecting surface(IRS)/CST microwave studio/non-line-of-sight communication/reflection compensation

分类

信息技术与安全科学

引用本文复制引用

梁炜,卢艺,张嘉麟,夏晔,许驰..面向2.4 GHz工业场景的轻薄低损耗反射补偿型智能反射面[J].电讯技术,2025,65(5):777-783,7.

基金项目

国家自然科学基金资助项目(62403456) (62403456)

辽宁省自然科学基金项目(2024-BSBA-54) (2024-BSBA-54)

沈阳自动化研究所基础研究项目(2022JC1K08) (2022JC1K08)

辽宁省"兴辽英才计划"项目(XLYC2203148) (XLYC2203148)

电讯技术

OA北大核心

1001-893X

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