Research Article
A Visible Light Indoor Location System Based on Lambert Optimization Model RSS Fingerprint Database Algorithm
@INPROCEEDINGS{10.1007/978-3-030-69066-3_43, author={Xiaoqian Ding and Shuo Shi and Xuemai Gu and Shihang Chen}, title={A Visible Light Indoor Location System Based on Lambert Optimization Model RSS Fingerprint Database Algorithm}, proceedings={Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings}, proceedings_a={AICON}, year={2021}, month={7}, keywords={Visible light communication Indoor location Location algorithm Internet of Things High precision}, doi={10.1007/978-3-030-69066-3_43} }- Xiaoqian Ding
Shuo Shi
Xuemai Gu
Shihang Chen
Year: 2021
A Visible Light Indoor Location System Based on Lambert Optimization Model RSS Fingerprint Database Algorithm
AICON
Springer
DOI: 10.1007/978-3-030-69066-3_43
Abstract
In order to further improve the positioning accuracy of indoor positioning based on visible light communication, this paper proposes an RSS fingerprint database location algorithm based on Lambert optimization model, which significantly improves the positioning accuracy. The Internet of Things technology is used to realize the connection between devices and mobile phones, and the positioning information is transmitted to mobile phone clients in real time. To test this system, a visible light indoor positioning system based on STM32F407 development platform was built, which verified that the positioning error of the system was basically stable within 30 mm in the area of 800 mm * 800 mm. This system has stable signal transmission, high precision, small time consuming and low cost of power consumption, which has a good development and application value.