Passive IoT-based positioning technology development status and evolutionary trends

QIAN Hongyu; LI Yuan; WANG Qing; WANG Yamin; XIAO Shanpeng

doi:10.11959/j.issn.1000-0801.2024085

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Passive IoT-based positioning technology development status and evolutionary trends

Review | 更新时间：2024-08-14

- Passive IoT-based positioning technology development status and evolutionary trends
- Telecommunications Science Vol. 40, Issue 7, Pages: 96-107(2024)
- 作者机构：
  
  中国移动通信有限公司研究院，北京 100053
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(U21B2029)
- DOI：10.11959/j.issn.1000-0801.2024085
  CLC： TN926
- Received：08 January 2024，
  
  Revised：2024-03-28，
  
  Published：20 July 2024
- 稿件说明：
移动端阅览
钱泓宇,李源,王晴等.无源物联网定位技术发展现状及演进趋势[J].电信科学,2024,40(07):96-107.

QIAN Hongyu,LI Yuan,WANG Qing,et al.Passive IoT-based positioning technology development status and evolutionary trends[J].Telecommunications Science,2024,40(07):96-107.
钱泓宇,李源,王晴等.无源物联网定位技术发展现状及演进趋势[J].电信科学,2024,40(07):96-107. DOI： 10.11959/j.issn.1000-0801.2024085.

QIAN Hongyu,LI Yuan,WANG Qing,et al.Passive IoT-based positioning technology development status and evolutionary trends[J].Telecommunications Science,2024,40(07):96-107. DOI： 10.11959/j.issn.1000-0801.2024085.

摘要

基于无源物联网的定位系统具有低成本、可标记的特点，适用于需要对大量目标进行定位的场景。传统无源物联网定位多应用于资产管理、物料跟踪等室内场景，随着蜂窝无源物联网的兴起，无源物联网定位技术将拥有更广阔的应用空间。基于此背景，在分析不同定位技术的原理及特点的基础上，介绍了无源物联网定位的最新研究进展，并根据实现原理将无源物联网定位技术总结为基于几何测量、基于指纹特征和基于成像技术的3类定位方法。鉴于当前研究大多采用在传统无源物联网架构和协议下获取的数据进行定位，从架构、协议、数据3个层面分析无源物联网定位技术的未来发展方向，以期为无源物联网定位技术研究提供新的思路。

Abstract

Passive IoT-based positioning systems are low-cost and taggable

making them suitable for scenarios that require the positioning of a large number of targets. Traditional passive IoT positioning is mostly applied to indoor scenarios such as asset management

material tracking. With the emergence of cellular passive IoT

passive IoT positioning technology will have a broader range of applications. On the basis of analyzing the principles and characteristics of different positioning technologies

the latest research progress of passive IoT positioning was introduced

and the passive IoT positioning technologies were summarized into three categories: geometrical measurement-based positioning methods

fingerprint feature-based positioning methods

and imaging technology-based positioning methods

according to their implementation principles. In view of the fact that most of the current research adopted the data obtained under the traditional passive IoT architecture and protocol for localization

the future development direction of passive IoT positioning technology was analyzed from three dimensions: architectures

protocols and data. The aim is to provide new ideas for researching passive IoT positioning technology.

关键词

Keywords

references

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