基于多节点协作的鲁棒可见光智能定位

doi:10.11959/j.issn.1000-0801.2023103

电信科学 ›› 2023, Vol. 39 ›› Issue (5): 28-41.doi: 10.11959/j.issn.1000-0801.2023103

基于多节点协作的鲁棒可见光智能定位

刘思聪¹^,², 苏丹萍¹, 卫天阔¹, 王先耀¹

¹ 厦门大学信息学院，福建厦门 361005
² 东南大学移动通信国家重点实验室，江苏南京 210096

修回日期:2023-05-09 出版日期:2023-05-20 发布日期:2023-05-01
作者简介:刘思聪（1989- ），男，厦门大学信息学院副教授，东南大学移动通信国家重点实验室副教授，主要研究方向为可见光通信与感知、通感融合、压缩感知、无线AI等
苏丹萍（1998- ），女，厦门大学信息学院硕士生，主要研究方向为可见光定位和可见光通信
卫天阔（2000- ），男，厦门大学信息学院硕士生，主要研究方向为压缩感知和可见光通信
王先耀（1998- ），男，厦门大学信息学院硕士生，主要研究方向为压缩感知和可见光定位
基金资助:
国家自然科学基金资助项目(61901403);东南大学移动通信国家重点实验室开放研究基金资助课题(2023D10);厦门市自然科学基金资助项目(3502Z20206039)

Multi-node cooperation based robust visible light intelligent positioning

Sicong LIU¹^,², Danping SU¹, Tiankuo WEI¹, Xianyao WANG¹

¹ School of Informatics, Xiamen University, Xiamen 361005, China
² National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

Revised:2023-05-09 Online:2023-05-20 Published:2023-05-01
Supported by:
The National Natural Science Foundation of China(61901403);The Open Research Fund of National Mobile Communications Research Laboratory, Southeast University(2023D10);The Natural Science Foundation of Xiamen(3502Z20206039)

摘要/Abstract

摘要：

可见光通信凭借频谱资源丰富、不易受电磁污染和绿色安全等优势有望成为6G的关键备选技术之一，也给高精度室内定位提供了新的思路。然而，在可用作锚点的LED数量不足或被严重遮挡等恶劣室内环境下，定位精度会大幅下降。为此，研究了一种基于多节点协作的鲁棒可见光智能定位方法，在考虑可见光非视距传播和用户终端朝向动态变化的情况下，通过建立用户终端之间的协作定位机制获取互信息增益，并设计一种卷积-循环神经网络，且对协作定位精度性能进行了理论分析。仿真结果表明，引入协作定位机制能有效提高恶劣条件下的定位性能。

关键词: 可见光定位, 协作定位, 卷积-循环神经网络, 非视距传播

Abstract:

Visible light communication is expected to be one of the key alternative technologies for 6G with the advantages of abundant spectrum resources, less susceptibility to electromagnetic pollution and green safety, which also provides a new idea for high-precision indoor positioning.However, the positioning accuracy can be significantly degraded in the harsh indoor environment where LED that can be used as an anchor is insufficient or severely blocked.Therefore, a robust visible light intelligent positioning method based on multi-node cooperation was investigated.Considering the non-line-of-sight propagation of visible light and the dynamic change of user terminal orientation, a cooperative localization mechanism between user terminals was established to obtain mutual information gain and a convolutional-recurrent neural network was designed, and the theoretical analysis of cooperative localization accuracy performance was carried out.Simulation results show that the introduction of the cooperative localization mechanism can effectively improve positioning performance under harsh conditions.

Key words: visible light positioning, cooperative localization, convolutional-recurrent neural network, non-line-of sight propagation

中图分类号:

TP393

刘思聪, 苏丹萍, 卫天阔, 王先耀. 基于多节点协作的鲁棒可见光智能定位[J]. 电信科学, 2023, 39(5): 28-41.

Sicong LIU, Danping SU, Tiankuo WEI, Xianyao WANG. Multi-node cooperation based robust visible light intelligent positioning[J]. Telecommunications Science, 2023, 39(5): 28-41.

图/表 6

图1

图2

表1

基于多节点协作的鲁棒可见光智能定位方法的仿真参数"

参数	值
房间的尺寸 $L \times W \times H$	5 m×5 m×3 m
LED的半功率角 $θ_{1 / 2}$	45^°
LED数量N	4
三维空间的尺寸 $l \times w \times h$	5 m×5 m×1.5 m
光电探测器数量K	2、4、6
光电探测器的响应度 $R_{opto-elec}$	0.68
墙壁反射系数ρ	77%
墙壁总反射区域的数量Q	180
光电探测器的视场角 $ϕ_{FOV}$	60^°
光电探测器的接收面积 $A_{opto-elec}$	2 cm ²
光学滤波器的增益 $T (ϕ)$	1.5
光学集中器的增益 $g (ϕ)$	1
主节点的状态数量	1.0×10⁶
室内路径损耗系数ζ	2.5
参考路径损耗 $PL (D_{0})$	41.5 dB
标准偏差σ	5

表1

图3

图4

图5

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基于多节点协作的鲁棒可见光智能定位

Multi-node cooperation based robust visible light intelligent positioning

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