中国科学技术大学学报 ›› 2017, Vol. 47 ›› Issue (2): 188-194.DOI: 10.3969/j.issn.0253-2778.2017.02.009

• 原创论文 • 上一篇    

一种基于RSS的改进的可见光定位系统

曾 勉   

  1. 中国科学院无线光通信重点实验室,中国科学技术大学信息科学与技术学院,安徽合肥 230026
  • 收稿日期:2016-10-08 修回日期:2017-02-28 出版日期:2017-02-28 发布日期:2017-02-28
  • 作者简介:ZENG Mian, female, born in 1993, master degree candidate. Research field: visible light communication. E-mail: zengmian@mail.ustc.edu.cn

Design and demonstration of an improved visible light positioning system based on RSS

ZENG Mian   

  1. Key Laboratory of Wireless-Optical Communications, Chinese Academy of Sciences, School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China) Abstract: An improved visible light positioning (VLP) system based on received signal strength (RSS) was proposed and experimentally demonstrated. It was assumed that the adjacent LEDs transmit information in different time slots to eliminate mutual interference. The Lambertian-based positioning method was evaluated via both simulations and experiments. Based on experimental measurements, the indoor positioning accuracy can reach the order of centimeters. In particular, the improved algorithm shows lower computational complexity and good robustness to the peak-to-peak voltage difference of different LEDs.
  • Received:2016-10-08 Revised:2017-02-28 Online:2017-02-28 Published:2017-02-28
  • Contact: GONG Chen

摘要: 提出了一种基于RSS(received signal strength)的改进的可见光定位算法,并且通过实验验证了该算法.为了消除相邻LED光信号的干扰,相邻灯采用时分的模式发送信号.首先,通过仿真和实验结果分析了基于朗伯模型的RSS定位算法,然后提出了一种改进的定位算法.通过实验结果和仿真结果证明,该定位算法在实用定位系统中的定位误差可达到厘米级别,并且该定位算法的鲁棒性更好、算法复杂度更低,更适合于实际工程应用.

关键词: 可见光定位, RSS(received signal strength), 室内定位

Abstract: An improved visible light positioning (VLP) system based on received signal strength (RSS) was proposed and experimentally demonstrated. It was assumed that the adjacent LEDs transmit information in different time slots to eliminate mutual interference. The Lambertian-based positioning method was evaluated via both simulations and experiments. Based on experimental measurements, the indoor positioning accuracy can reach the order of centimeters. In particular, the improved algorithm shows lower computational complexity and good robustness to the peak-to-peak voltage difference of different LEDs.

Key words: visible light positioning, received signal strength, indoor positioning