Visible light positioning system based on RSSI fingerprint feature vector

In recent years, the growing demand for indoor location services has prompted the development of indoor positioning technology. The indoor positioning technology based on visible light has many advantages such as no electromagnetic interference and rich bandwidth resources. Therefore, this paper proposes an indoor visible light positioning (VLP) system based on the weighted K nearest neighbor (WKNN) fingerprint method. In order to improve the real-time and accuracy of positioning, a clustering algorithm and Spearman distance are proposed to improve. Finally, experiments were conducted on the designed hardware platform, which proved the accuracy and practicability of the proposed algorithm.