TY - GEN
T1 - HMRL
T2 - 14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017
AU - Wang, Ge
AU - Qian, Chen
AU - Shangguan, Longfei
AU - Ding, Han
AU - Han, Jinsong
AU - Yang, Nan
AU - Xi, Wei
AU - Zhao, Jizhong
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/30
Y1 - 2017/6/30
N2 - 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.
AB - 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.
KW - RFID
KW - Relative localization
UR - https://www.scopus.com/pages/publications/85031682994
U2 - 10.1109/SAHCN.2017.7964944
DO - 10.1109/SAHCN.2017.7964944
M3 - 会议稿件
AN - SCOPUS:85031682994
T3 - 2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017
BT - 2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 June 2017 through 14 June 2017
ER -