Improving Accuracy for 3D RFID Localization | Zendy

Jinsong Han | Zendy; Yiyang Zhao | Zendy; Yan Cheng | Zendy; Tse Lung Wong | Zendy; Chun Hung Wong | Zendy

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Improving Accuracy for 3D RFID Localization

Author(s) -

Jinsong Han,

Yiyang Zhao,

Yan Cheng,

Tse Lung Wong,

Chun Hung Wong

Publication year - 2012

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2012/865184

Subject(s) - computer science , radio frequency identification , identification (biology) , filter (signal processing) , computer vision , tracking (education) , real time computing , artificial intelligence , embedded system , computer security , psychology , pedagogy , botany , biology

Radio Frequency Identification (RFID) becomes a prevalent labeling and localizing technique in the recent years. Deploying indoor RFID localization systems facilitates many applications. Previous approaches, however, are most based on 2D design and cannot provide 3D location information. The lack of one-dimensional information may lead 2D-based systems to inaccurate localization. In this paper, we develop an indoor 3D RFID localization system based on active tag array. In particular, we employ the geometric mean to filter the explicit 3D location information with high accuracy. The experimental results show that our system is efficient in tracking objects and improving the localization accuracy

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