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Author:

Qiu, Lanxin (Qiu, Lanxin.) | Huang, Zhangqin (Huang, Zhangqin.) (Scholars:黄樟钦) | Zhang, Shaohua (Zhang, Shaohua.) | Wang, Wenshi (Wang, Wenshi.)

Indexed by:

CPCI-S EI Scopus

Abstract:

With the development of communication technology and the rapid augment in data and multimedia services, the demand for indoor localization is increasing. Radio Frequency Identification ( RFID) based real time localization system is an effective positioning system. However, due to the complex multi-path interference of indoor environment, most of the localization methods are lack of positioning accuracy. In this paper, we present a multi-frequency carrier phase difference based ranging measurement for passive RFID system in the real experiment scenario. Kalman filter is used to calibrate the phase difference value and a least square method is employed to estimate the environmental influencing factor. Real environment experiment results indicate high ranging accuracy of our approach, which lay a foundation for further two or three dimensions measurement. The paper explains the basic measurement principle, experimental setup and performance analysis.

Keyword:

Localization Kalman Filter RFID Phase Multi-frequency

Author Community:

  • [ 1 ] [Qiu, Lanxin]Beijing Univ Technol, Embedded Syst & Software Inst, Beijing, Peoples R China
  • [ 2 ] [Huang, Zhangqin]Beijing Univ Technol, Embedded Syst & Software Inst, Beijing, Peoples R China
  • [ 3 ] [Zhang, Shaohua]Beijing Univ Technol, Embedded Syst & Software Inst, Beijing, Peoples R China
  • [ 4 ] [Wang, Wenshi]Beijing Univ Technol, Embedded Syst & Software Inst, Beijing, Peoples R China

Reprint Author's Address:

  • [Qiu, Lanxin]Beijing Univ Technol, Embedded Syst & Software Inst, Beijing, Peoples R China

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Source :

2014 SEVENTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2014), VOL 1

ISSN: 2165-1701

Year: 2014

Page: 245-248

Language: English

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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