Improvement of indoor visible light positioning algorithm based on RSS

Yajie Wang; Tianxing Shen; Mingfu Zhao; Nianbing Zhong

doi:10.1117/12.3025155

8 February 2024 Improvement of indoor visible light positioning algorithm based on RSS

Yajie Wang, Tianxing Shen, Mingfu Zhao, Nianbing Zhong

Proceedings Volume 13066, International Conference on Optoelectronic Materials and Devices (ICOMD 2023); 1306618 (2024) https://doi.org/10.1117/12.3025155
Event: 2023 International Conference on Optoelectronic Materials and Devices (COMD 2023), 2023, Chongqing, China

Abstract

In recent years, the demand for location services has been increasing, but due to issues such as insufficient communication network bandwidth and scarce spectrum resources, positioning technology based on visible light systems has received widespread attention. Based on the strength of the received signal, the positioning method based on RSS can easily calculate the distance between LED and detector. Due to its low cost and high accuracy, it has become a hot topic in the field of indoor positioning research. However, due to the fluctuation of LED power, the performance of the RSS method is greatly limited, and its application effectiveness is greatly limited. This paper proposes a positioning algorithm that utilizes fixed detector compensation to solve the problem of low positioning accuracy caused by LED light intensity fluctuations.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yajie Wang, Tianxing Shen, Mingfu Zhao, and Nianbing Zhong "Improvement of indoor visible light positioning algorithm based on RSS", Proc. SPIE 13066, International Conference on Optoelectronic Materials and Devices (ICOMD 2023), 1306618 (8 February 2024); https://doi.org/10.1117/12.3025155

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available