TY - GEN
T1 - Poster
T2 - 23rd Annual International Conference on Mobile Computing and Networking, MobiCom 2017
AU - Wang, Ge
AU - Qian, Chen
AU - Han, Jinsong
AU - Cai, Haofan
N1 - Publisher Copyright:
© 2017 Copyright held by the owner/author(s).
PY - 2017/10/4
Y1 - 2017/10/4
N2 - There have been increasing interests in exploring the sensing capabilities of RFID beyond its basic identification task, to reveal more information of tagged objects and the physical world. Phase is a crucial physical feature for many RFID sensing applications, such as tag localization. Most existing methods rely on a low multipath environment for accurate phase measurement. Unfortunately, practical environments are highly likely to be multipath-prevalent, especially for indoors. This paper presents the first work to extract "clean" phase measurement of RFID tags in multipath-prevalent environments. We propose CPEX (Clean Phase EXtraction) based on theoretical modeling, which is also validated via experimental results of our prototype implementation. We studied the performance of CPEX on tag localization. CPEX can achieve median errors of 4.3∼6.4cm (in different setups), which is the most accurate 3D tag localization result in multipath-prevalent environments.
AB - There have been increasing interests in exploring the sensing capabilities of RFID beyond its basic identification task, to reveal more information of tagged objects and the physical world. Phase is a crucial physical feature for many RFID sensing applications, such as tag localization. Most existing methods rely on a low multipath environment for accurate phase measurement. Unfortunately, practical environments are highly likely to be multipath-prevalent, especially for indoors. This paper presents the first work to extract "clean" phase measurement of RFID tags in multipath-prevalent environments. We propose CPEX (Clean Phase EXtraction) based on theoretical modeling, which is also validated via experimental results of our prototype implementation. We studied the performance of CPEX on tag localization. CPEX can achieve median errors of 4.3∼6.4cm (in different setups), which is the most accurate 3D tag localization result in multipath-prevalent environments.
UR - https://www.scopus.com/pages/publications/85034066534
U2 - 10.1145/3117811.3131258
DO - 10.1145/3117811.3131258
M3 - 会议稿件
AN - SCOPUS:85034066534
T3 - Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
SP - 588
EP - 590
BT - MobiCom 2017 - Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking
PB - Association for Computing Machinery
Y2 - 16 August 2017 through 20 August 2017
ER -