@inproceedings{3946eed861b74c1584e0447dc6dd3ce7,
title = "A Visible Light Indoor Location System Based on Lambert Optimization Model RSS Fingerprint Database Algorithm",
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.",
keywords = "High precision, Indoor location, Internet of Things, Location algorithm, Visible light communication",
author = "Xiaoqian Ding and Shuo Shi and Xuemai Gu and Shihang Chen",
note = "Publisher Copyright: {\textcopyright} 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 2nd EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2020 ; Conference date: 19-12-2020 Through 20-12-2020",
year = "2021",
doi = "10.1007/978-3-030-69066-3\_43",
language = "英语",
isbn = "9783030690656",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "493--501",
editor = "Shuo Shi and Liang Ye and Yu Zhang",
booktitle = "Artificial Intelligence for Communications and Networks - 2nd EAI International Conference, AICON 2020, Proceedings",
address = "德国",
}