Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/86812
Title: Image Sensor Based Visible Light Positioning System with Improved Positioning Algorithm
Authors: Qian, Kemao
Wu, Dehao
Zhang, Ran
Zhong, Wen-De
Keywords: Visible Light Positioning (VLP)
Light Emitting Diode (LED)
Issue Date: 2017
Source: Zhang, R., Zhong, W.-D., Qian, K., & Wu, D. (2017). Image Sensor Based Visible Light Positioning System with Improved Positioning Algorithm. IEEE Access, 5, 6087-6094.
Series/Report no.: IEEE Access
Abstract: We optimize an image sensor-based indoor visible light positioning (VLP) system by improving the positioning algorithm. Specifically, we derive a close-form expression to determine the receiver's position and orientation using the singular value decomposition (SVD) technique, which speeds up the positioning process and enhances the robustness. Simulation results show that the proposed SVD-based noniterative positioning algorithm is 50-80 times faster than the conventional iterative Levenberg-Marquardt-based algorithm and avoids the possible failures caused by the bad initial guesses. Meanwhile, we theoretically investigate the VLP system by deriving the Cramer-Rao lower bound and the root mean square error bound as the positioning accuracy limit and study the impact of system parameters on the positioning error. Finally, we experimentally evaluate the performance of the improved VLP system. It achieves highly robust and fast 3-D positioning with centimeter-level accuracy.
URI: https://hdl.handle.net/10356/86812
http://hdl.handle.net/10220/44263
DOI: 10.1109/ACCESS.2017.2693299
Rights: © 2017 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles
ERI@N Journal Articles
IGS Journal Articles
SCSE Journal Articles

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