Research on Optimization of Camera-based Visible Light Positioning System

LIU Xiangyu; LIU Baorui; SONG Song; GUO Lei

doi:10.11999/JEIT211019

Volume 44 Issue 12

Dec. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(12): 4246-4255

LIU Xiangyu, LIU Baorui, SONG Song, GUO Lei. Research on Optimization of Camera-based Visible Light Positioning System[J]. Journal of Electronics & Information Technology, 2022, 44(12): 4246-4255. doi: 10.11999/JEIT211019

Citation:

LIU Xiangyu, LIU Baorui, SONG Song, GUO Lei. Research on Optimization of Camera-based Visible Light Positioning System[J]. Journal of Electronics & Information Technology, 2022, 44(12): 4246-4255. doi: 10.11999/JEIT211019

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Research on Optimization of Camera-based Visible Light Positioning System

doi: 10.11999/JEIT211019

LIU Xiangyu¹,
LIU Baorui²,
SONG Song^{2
,
,},
GUO Lei^{1, 3}

1.
Institute of Intelligent Communication and Network Security, School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China
3.
Hangzhou Institute of Advanced Technology, Hangzhou 310005, China

Funds: Chongqing University Innovation Research Group (CXQT21019)

Received Date: 2021-09-24
Accepted Date: 2021-12-08
Rev Recd Date: 2021-12-03

Available Online: 2021-12-18

Publish Date: 2022-12-16

Abstract

Abstract

The existing indoor visible light positioning systems focus more on the positioning accuracy improvement and ignores the system's decoding success rate and the applicability of the positioning algorithm. The specific aspects are as follows: (1) Captured images with the blurring effect result in a lower decoding recognition rate; (2) Most existing systems use a single algorithm to achieve the positioning, and the dual-Light Emitting Diode (dual-LED) positioning algorithm exists the uncertainty for the rotation angle. The above problems result in the positioning accuracy decreasing or even the positioning system failure. First, the decoding algorithm based on the fringe width ratio is proposed to remove the defect of the artificial hard-threshold. Then, the joint positioning algorithm based on optimized rotation angle is proposed, which uses the smartphone orientation sensor to calibrate the rotation angle. Furthermore, a simple navigation application is designed. Experimental results show that the designed algorithms raise the decoding recognition rate up to 99% within 1.5 m, and the average positioning error is 3.998 cm.
- Visible light positioning,
- Fringe width ratio,
- Positioning algorithm,
- Optimization system

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References(15)

References

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