A High Coverage Camera Assisted Received Signal Strength Ratio Algorithm for Indoor Visible Light Positioning
Lin Bai, Yang Yang, Chunyan Feng, Caili Guo, Julian Cheng

TL;DR
The paper introduces eCA-RSSR, a high-coverage indoor visible light positioning algorithm that combines camera visual data and RSSR to achieve centimeter-level accuracy with minimal LEDs and robust performance.
Contribution
It proposes a novel eCA-RSSR algorithm that uses visual and signal data for efficient, orientation-free 2D and 3D indoor positioning with high coverage and accuracy.
Findings
Achieves centimeter-level accuracy over 80% indoor area.
Requires only 3 LEDs for positioning, enhancing coverage.
Performs well regardless of the distance between PD and camera.
Abstract
In this paper, a high coverage algorithm termed enhanced camera assisted received signal strength ratio (eCA-RSSR) positioning algorithm is proposed for visible light positioning (VLP) systems. The basic idea of eCA-RSSR is to utilize visual information captured by the camera to estimate the incidence angles of visible lights first. Based on the incidence angles, eCA-RSSR utilizes the received signal strength ratio (RSSR) calculated by the photodiode (PD) to estimate the ratios of the distances between the LEDs and the receiver. Based on an Euclidean plane geometry theorem, eCA-RSSR transforms the ratios of the distances into the absolute values. In this way, eCA-RSSR only requires 3 LEDs for both orientation-free 2D and 3D positioning, implying that eCA-RSSR can achieve high coverage. Based on the absolute values of the distances, the linear least square method is employed to estimate…
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Taxonomy
TopicsOptical Wireless Communication Technologies · Indoor and Outdoor Localization Technologies · Underwater Vehicles and Communication Systems
