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作者:

Qiu, Lanxin (Qiu, Lanxin.) | Huang, Zhangqin (Huang, Zhangqin.) (学者:黄樟钦) | Zhang, Shaohua (Zhang, Shaohua.) | Jing, Cheng (Jing, Cheng.) | Li, Hao (Li, Hao.) | Li, Shuyao (Li, Shuyao.)

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EI Scopus SCIE

摘要:

Real-time location system (RLS) based on RFID is an effective indoor positioning system. The battery-free and low cost UHF passive tags can be attached on almost any objects, which are recognized as the best medium to achieve high precision ranging and positioning for large-scale objects. This paper proposes an indoor range measurement based on multifrequency phase difference of arrival (MF-PDoA) using UHF RFID passive tags and discusses the measurement principle, experiment implementation, and results evaluation in detail. After a theoretical overview of MF-PDoA range measurement principle, it introduces an experimental prototype under EPC C1G2 standard for range measurements. Both our prototype and a commercial off-the-shelf RFID reader have been used to verify the measurement method. We propose a Kalman filter and weighting method to process the measuring data. Experiment results indicate that, in a real environment, this method can effectively improve the ranging accuracy, which lays a foundation to extend the proposed measurement into two to three dimensions indoor object positioning.

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作者机构:

  • [ 1 ] [Qiu, Lanxin]Beijing Univ Technol, Dept Software, Beijing 100124, Peoples R China
  • [ 2 ] [Huang, Zhangqin]Beijing Univ Technol, Dept Software, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Shaohua]Beijing Univ Technol, Dept Software, Beijing 100124, Peoples R China
  • [ 4 ] [Qiu, Lanxin]Beijing Engn Technol Res Ctr IoT Software & Syst, Beijing 100124, Peoples R China
  • [ 5 ] [Huang, Zhangqin]Beijing Engn Technol Res Ctr IoT Software & Syst, Beijing 100124, Peoples R China
  • [ 6 ] [Zhang, Shaohua]Beijing Engn Technol Res Ctr IoT Software & Syst, Beijing 100124, Peoples R China
  • [ 7 ] [Jing, Cheng]Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China
  • [ 8 ] [Li, Hao]Xidian Univ, Sch Elect Engn, Xian 710071, Shaanxi, Peoples R China
  • [ 9 ] [Li, Shuyao]Xidian Univ, Sch Elect Engn, Xian 710071, Shaanxi, Peoples R China

通讯作者信息:

  • 黄樟钦

    [Huang, Zhangqin]Beijing Univ Technol, Dept Software, Beijing 100124, Peoples R China

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来源 :

INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS

ISSN: 1550-1477

年份: 2015

2 . 3 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:168

JCR分区:3

中科院分区:4

被引次数:

WoS核心集被引频次: 7

SCOPUS被引频次: 9

ESI高被引论文在榜: 0 展开所有

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