dc.contributor.authorZhang, Ran
dc.contributor.authorZhong, Wen-De
dc.contributor.authorQian, Kemao
dc.contributor.authorWu, Dehao
dc.identifier.citationZhang, 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.en_US
dc.description.abstractWe 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.en_US
dc.format.extent8 p.en_US
dc.relation.ispartofseriesIEEE Accessen_US
dc.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.en_US
dc.subjectVisible Light Positioning (VLP)en_US
dc.subjectLight Emitting Diode (LED)en_US
dc.titleImage Sensor Based Visible Light Positioning System with Improved Positioning Algorithmen_US
dc.typeJournal Article
dc.contributor.researchEnergy Research Institute @NTUen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.schoolInterdisciplinary Graduate School (IGS)en_US
dc.description.versionPublished versionen_US

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