Indoor Localization System Based on Passive RFID Tags

被引：7

作者：

Thi Hao Dao ^{[1
]}

Quoc Cuong Nguyen ^{[1
,2
]}

Van Duc Ngo ^{[2
]}

Minh Thuy Le ^{[1
,2
]}

Cong Anh Hoang ^{[3
]}

机构：

[1] Hanoi Univ Sci & Technol, Int Res Inst MICA CNRS UMI 2954, Hanoi, Vietnam

[2] Hanoi Univ Sci & Technol Hanoi, Dept Instrumentat & Ind Informat, Hanoi, Vietnam

[3] Vinh Univ Technol Educ, Dept Elect, Vinh, Vietnam

来源：

PROCEEDINGS FIFTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION | 2014年

关键词：

Passive tag; indoor localization; propagation model; K nearest neighbor algorithm; received Signal Strength Indication; UHF RFID;

D O I：

10.1109/ISMS.2014.162

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present a low-cost localization system using UHF RFID passive tags in indoor environments. It can be used to locate objects or people in an unfamiliar building. The signal power distribution, propagation conditions and environmental factors will be studied in more detail. Landmark reference tag grid is applied in our system. The tag RSSI (Received Signal Strength Indication) is the main value for our improved K nearest neighbor algorithm. Path Loss models for an indoor environment are also analyzed. The error map and the accuracy of the reference positions are constructed through the Path Loss model for helping to choose corresponding K reference positions.

引用

页码：579 / 584

页数：6

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