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无线射频反向散射的现状、问题及发展趋势

韩子龙 李雅菲 王雨琪 张悦豪 郑黎明

物联网学报2026,Vol.10Issue(2):24-41,18.
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物联网学报2026,Vol.10Issue(2):24-41,18.DOI:10.11959/j.issn.2096-3750.WLW25189

无线射频反向散射的现状、问题及发展趋势

Wireless radio frequency backscatter communication:current status,issues,and development trends

韩子龙 1李雅菲 1王雨琪 1张悦豪 1郑黎明2

作者信息

  • 1. 天津先进技术研究院,天津 300459
  • 2. 天津先进技术研究院,天津 300459||国防科技大学电子科学学院,湖南 长沙 410073
  • 折叠

摘要

Abstract

Wireless radio frequency backscatter is characterized by shared spectrum,low power consumption,and low cost,and it has important application value in the terminal devices and repeater markets of communication and sensing.Mobile communication technology has always been a hotspot of development.The transition from 5G to 6G is not only about speed but also about evolving from the Internet of things to the Internet of intelligent things.Both mobile communi-cation technology and Internet of things technology face the problem of spectrum scarcity,there is also demand for low-power energy-saving design,creating intersections with wireless radio frequency backscatter communication.Firstly,by exploring research hotspots such as mobile communication and Internet of things technologies,the wireless radio fre-quency backscatter communication was introduced in this study.Secondly,through reviewing seminal papers on the envi-ronmental backscatter communication,recent research,and fundamental principles,a clear developmental trajectory was mapped out and the current state was categorized across different dimensions.Then,based on this developmental trajectory and classification,existing issues and partial solutions were identified.Finally,combining the analysis of the full text,the next phase of development trends were predicted in this study.

关键词

反向散射/无线射频/综述/移动通信技术/物联网

Key words

backscatter/wireless radio frequency/review/mobile communication technology/Internet of things

分类

信息技术与安全科学

引用本文复制引用

韩子龙,李雅菲,王雨琪,张悦豪,郑黎明..无线射频反向散射的现状、问题及发展趋势[J].物联网学报,2026,10(2):24-41,18.

基金项目

国家自然科学基金联合基金项目"叶企孙"科学基金资助项目(No.U2441234) (No.U2441234)

自动目标识别全国重点实验室滨海创新基金资助项目(No.BHCX2023050101) Ye Qisun Science Foundation of the Joint Fund of National Natural Science Foundation of China(No.U2441234),Foundation of National Key Laboratory of Science and Technology on Automatic Target Recognition(No.BHCX2023050101) (No.BHCX2023050101)

物联网学报

2096-3750

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