Fingerprint-Based Visible Light Positioning using Multiple Photodiode Receiver

• Published in: 2020 IEEE Sensors Applications Symposium (SAS) pp. 1 - 6
• Main Authors: Hasan, Adli, Glass, Tyrel, Alam, Fakhrul, Legg, Mathew
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2020
• Subjects: Euclidean distance; Fingerprint recognition; Indoor localization; indoor positioning system (IPS); Lighting; Location awareness; Measurement; Receivers; Sensor systems and applications; visible light positioning (VLP); weighted k-nearest neighbors (WkNN)
• DOI: 10.1109/SAS48726.2020.9220080

Visible Light Positioning (VLP) is a promising indoor localization method as it provides high positioning accuracy and allows for leveraging the existing lighting infrastructure. Photodiode (PD)- based receiver is a commonly used tag for VLP. However a tag employing single PD requires three or more luminaires to be visible. This paper presents a VLP system that uses a custom made tag utilizing multiple PDs. It applies Received Signal Strength (RSS)-based fingerprinting using Weighted k-Nearest Neighbor (WkNN) algorithm for localization. Experimental results show that it is possible to localize using less than three luminaires with high accuracy. Manhattan and Matusita distance metrics are found to provide lower localization accuracy than the Euclidean metric for the WkNN algorithm.