A singular value decomposition-based positioning algorithm for indoor visible light positioning system

In this work, a visible light positioning (VLP) system using an image sensor (a smartphone camera) as the receiver is considered. We focus our research on the system acquisition time and success rate, both of which are largely determined by the employed positioning algorithm. To speed up the positio...

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Bibliographic Details
Published inCLEO-PR : 2017 Conference on Lasers and Electro-Optics Pacific Rim : July 31, 2017-August 4, 2017 pp. 1 - 2
Main Authors Ran Zhang, Wen-De Zhong, Qian Kemao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2017
Subjects
Cameras
image sensor
Image sensors
indoor positioning system
LED lamps
Levenberg-Marquardt (LM) algorithm
Optimized production technology
Receivers
Robustness
Singular value decomposition
singular value decomposition (SVD)
visible light positioning (VLP)
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DOI10.1109/CLEOPR.2017.8118948

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Summary:In this work, a visible light positioning (VLP) system using an image sensor (a smartphone camera) as the receiver is considered. We focus our research on the system acquisition time and success rate, both of which are largely determined by the employed positioning algorithm. To speed up the positioning process and enhance its robustness, we derive a close-form expression to determine the receiver's position and orientation using the singular value decomposition (SVD) technique, and a new SVD-based positioning algorithm is proposed accordingly. Simulation results prove that the proposed SVD-based positioning algorithm is 50-80 times faster than the conventional iterative Levenberg-Marquardt (LM) based algorithm and avoids possible failures caused by bad initial guesses.
DOI:10.1109/CLEOPR.2017.8118948