基于可见光通信的室内定位与定向系统

doi:10.11959/j.issn.1000-436X.2020217

通信学报 ›› 2020, Vol. 41 ›› Issue (12): 162-170.doi: 10.11959/j.issn.1000-436X.2020217

基于可见光通信的室内定位与定向系统

杨国伟, 黄兆标, 樊冰, 周雪芳, 毕美华

杭州电子科技大学通信工程学院，浙江杭州 310018

修回日期:2020-08-19 出版日期:2020-12-25 发布日期:2020-12-01
作者简介:杨国伟（1984- ），男，浙江杭州人，博士，杭州电子科技大学副教授、硕士生导师，主要研究方向为无线光通信、光与无线融合的泛在互联与定位技术等。
黄兆标（1996- ），男，浙江温州人，杭州电子科技大学硕士生，主要研究方向为室内定位技术。
樊冰（1979- ），女，河南许昌人，杭州电子科技大学副教授，主要研究方向为室内定位和无线传感网络技术。
周雪芳（1976- ），女，江西丰城人，杭州电子科技大学副教授、硕士生导师，主要研究方向为光纤激光器、光纤传感技术和THz信号源等。
毕美华（1981- ），女，山东济宁人，博士，杭州电子科技大学副教授、硕士生导师，主要研究方向为光与无线融合接入、新型光接入网系统的物理层安全、可重构的智能的数据中心网络系统等。
基金资助:
浙江省公益性技术应用研究计划基金资助项目(2017C31067);国家自然科学基金资助项目(61405051);国家自然科学基金资助项目(61501157)

Indoor positioning and orientating system based on visible light communication

Guowei YANG, Zhaobiao HUANG, Bing FAN, Xuefang ZHOU, Meihua BI

School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China

Revised:2020-08-19 Online:2020-12-25 Published:2020-12-01
Supported by:
The Zhejiang Provincial Public Technology Application Research Project(2017C31067);The National Natural Science Foundation of China(61405051);The National Natural Science Foundation of China(61501157)

摘要/Abstract

摘要：

针对室内定位与定向系统，提出了一种结合粒子群优化（PSO）和天牛须搜索（BAS）的VLC室内定位与定向算法，通过PSO算法探索接收端的最优方向，利用BAS算法对每个粒子当前方向下的最佳三维坐标进行搜索。首先在3 m×3 m×5 m的室内空间和40 dB信噪比下进行仿真研究，所提出的VLC室内定位与定向系统实现了平均定位误差4.82 cm和平均定向误差2.24°的性能指标。然后在0.9 m×0.9 m×1.5 m的实验系统中，实施了同时定位与定向的实验验证，平均定位与定向误差分别为5.32 cm 与5.99°。相比传统VLC室内定位方案，所提 VLC 室内定位与定向系统不需要接收端高度和方向的先验知识，大大降低了使用复杂度，具有更加广泛的应用场景。

关键词: 可见光通信, 室内定位与定向, 接收信号强度, 粒子群优化, 天牛须搜索

Abstract:

For the insufficient research on the simultaneously positioning and orientating system, a VLC positioning and orientating algorithm based on combining particle swarm optimization (PSO) and beetle antennae search (BAS) was proposed.The PSO algorithm was used to explore the optimal direction of the receiver and meanwhile the BAS algorithm was used to search the best three-dimensional coordinates of each particle in the current direction.Firstly, the indoor space of 3 m×3 m×5 m and the SNR of 40 dB were assumed in the simulation, the proposed VLC indoor positioning and orientating system could achieve the average positioning error of 4.82 cm and average orientating error of 2.24°.Then, in the laboratory space of 0.9 m×0.9 m×1.5 m, the experimental demonstration was accomplished for the first time, and the average positioning and orientating errors of this experimental system were 5.32 cm and 5.99°, respectively.Compared with the traditional VLC indoor positioning schemes, the proposed VLC positioning and orientating system does not need the prior knowledge of the height and direction of the receiver, which greatly reduces the system complexity and is applicable to a wider range of applications.

Key words: visible light communication, indoor positioning and orientating, received signal strength, particle swarm op-timization, beetle antennae search

中图分类号:

TN92

杨国伟, 黄兆标, 樊冰, 周雪芳, 毕美华. 基于可见光通信的室内定位与定向系统[J]. 通信学报, 2020, 41(12): 162-170.

Guowei YANG, Zhaobiao HUANG, Bing FAN, Xuefang ZHOU, Meihua BI. Indoor positioning and orientating system based on visible light communication[J]. Journal on Communications, 2020, 41(12): 162-170.

图/表 10

图1

图2

图3

图4

表1

仿真参数设置"

算法	仿真参数	平均用时/ms
	$T_{out}^{m a x} = 10, N_{p} = 10, T_{in}^{m a x} = 100,$
VLC定位与定向算法	w=0.5,c₁=1,c₂=2,	1 060
	δ⁰=0.5,η=0.95,c=5
$n_{R}^{} = [0, 0, 1]^{T}$ 下定位算法	$\begin{array}{l} T_{out}^{m a x} = 1, N_{p} = 1, T_{in}^{m a x} = 200, \\ δ^{0} = 0.3, η = 0.98, c = 5. \end{array}$	8.23

表1

图5

图6

图7

图8

表2

参考文献 23

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算法	平均定位误差/cm
PSO	4.40
SA	4.24
本文算法	3.84

基于可见光通信的室内定位与定向系统

Indoor positioning and orientating system based on visible light communication

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