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。
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.
作者
钱泓宇
李源
王晴
王亚敏
肖善鹏
QIAN Hongyu;LI Yuan;WANG Qing;WANG Yamin;XIAO Shanpeng(China Mobile Research Institute,Beijing 100053,China)
出处
《电信科学》
北大核心
2024年第7期96-107,共12页
Telecommunications Science
基金
国家自然科学基金资助项目(No.U21B2029)。
