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HMRL: Relative Localization of RFID Tags with Static Devices

  • University of California at Santa Cruz
  • Princeton University
  • Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

34 引用 (Scopus)

摘要

Passive Radio Frequency Identification (RFID) tags have been widely applied in many applications, such as logistics, retailing, and warehousing. In many situations the relative locations of objects are more important than their absolute locations. However, state-of-art relative localization methods need continuing movement of tags and readers, which limit the application domain and scalability. In this paper, we propose a relative localization approach for passive tags that requires no device movement. Instead, our method utilizes signal changes caused by arbitrary movement of human beings around tags, who carry no device. Hence our method is called Human Movement based Relative Localization (HMRL). The basic idea of HMRL is that when people pass between reader antenna and tags, the received signal strength will change. By observing the time-series RSS changes of tags, HMRL can obtain the order of tags along a specific horizontal direction. HMRL can also get the order of tags in a vertical direction using hyperbolic positioning. We implement HMRL with commodity off-the-shelf RFID devices. The experimental results show that HMRL achieves high accuracy for relative localization of passive tags.

源语言英语
主期刊名2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781509065998
DOI
出版状态已出版 - 30 6月 2017
活动14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017 - San Diego, 美国
期限: 12 6月 201714 6月 2017

出版系列

姓名2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017

会议

会议14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017
国家/地区美国
San Diego
时期12/06/1714/06/17

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