流水线型局部加权回归RFID 室内定位

doi:10.3969/j.issn.0255-8297.2014.02.003

Journal of Applied Sciences ›› 2014, Vol. 32 ›› Issue (2): 125-132.doi: 10.3969/j.issn.0255-8297.2014.02.003

• Communication Engineering • Previous Articles Next Articles

Pipelined RFID Indoor Positioning Based on Locally-Weighted Regression

ZHANG Jin-yi1,2,3, ZHANG Jing-jing1, LI Ruo-han1, XU De-zheng2, XU Qin-le2

1. Key Laboratory of Special Fiber Optics and Optical Access Networks, Ministry of Education,Shanghai University, Shanghai 200072, China
2. Microelectronic Research and Development Center, Shanghai University, Shanghai 200072, China
3. Key Laboratory of Advanced Displays and System Application, Ministry of Education,Shanghai University, Shanghai 200072, China

Received:2013-03-05 Revised:2013-10-22 Online:2014-03-25 Published:2013-10-22

Abstract

Abstract: Radio frequency identification (RFID) is a hot research topic for indoor positioning because it is non-contact and non-line-of-sight with low-cost and high-precision. This paper proposes to use the pipelined packet reception rate as the positioning parameters to enhance stability and improve real-time performance.To deal with the indoor environmental impact on the signal propagation, the pipelined positioning algorithm uses locally weighted regression, which takes full advantage of the indoor environment information to achieve precise positioning. Experimental results show that, for indoor applications, the proposed algorithm increases the positioning accuracy by 56.56% compared with LANDMARK and by 36.73% compared with VIRE. The method can also obtain precise real-time tracking results for multiple targets, showing its practical value and wide range of applications.

Key words: indoor positioning, radio frequency identification (RFID), locally weighted regression, pipeline, packet reception rate

CLC Number:

TN929

ZHANG Jin-yi1,2,3, ZHANG Jing-jing1, LI Ruo-han1, XU De-zheng2, XU Qin-le2. Pipelined RFID Indoor Positioning Based on Locally-Weighted Regression[J]. Journal of Applied Sciences, 2014, 32(2): 125-132.

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Pipelined RFID Indoor Positioning Based on Locally-Weighted Regression

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