10 May 2017 Indoor positioning algorithm combined with angular vibration compensation and the trust region technique based on received signal strength-visible light communication
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Abstract
Indoor positioning using visible light communication has become a topic of intensive research in recent years. Because the normal of the receiver always deviates from that of the transmitter in application, the positioning systems which require that the normal of the receiver be aligned with that of the transmitter have large positioning errors. Some algorithms take the angular vibrations into account; nevertheless, these positioning algorithms cannot meet the requirement of high accuracy or low complexity. A visible light positioning algorithm combined with angular vibration compensation is proposed. The angle information from the accelerometer or other angle acquisition devices is used to calculate the angle of incidence even when the receiver is not horizontal. Meanwhile, a received signal strength technique with high accuracy is employed to determine the location. Moreover, an eight-light-emitting-diode (LED) system model is provided to improve the accuracy. The simulation results show that the proposed system can achieve a low positioning error with low complexity, and the eight-LED system exhibits improved performance. Furthermore, trust region-based positioning is proposed to determine three-dimensional locations and achieves high accuracy in both the horizontal and the vertical components.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Jin Wang, Jin Wang, Haoxu Li, Haoxu Li, Xiaofeng Zhang, Xiaofeng Zhang, Rangzhong Wu, Rangzhong Wu, } "Indoor positioning algorithm combined with angular vibration compensation and the trust region technique based on received signal strength-visible light communication," Optical Engineering 56(5), 056105 (10 May 2017). https://doi.org/10.1117/1.OE.56.5.056105 . Submission: Received: 5 January 2017; Accepted: 17 April 2017
Received: 5 January 2017; Accepted: 17 April 2017; Published: 10 May 2017
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