Multi-node cooperation based robust visible light intelligent positioning

Sicong LIU; Danping SU; Tiankuo WEI; Xianyao WANG

doi:10.11959/j.issn.1000-0801.2023103

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Multi-node cooperation based robust visible light intelligent positioning

Topic: Visible Light Communication | 更新时间：2024-06-05

- Multi-node cooperation based robust visible light intelligent positioning
- Telecommunications Science Vol. 39, Issue 5, Pages: 28-41(2023)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2023103
  CLC： TP393
- Published Online：2023-05，
  
  Published：20 May 2023
- 稿件说明：
移动端阅览
Sicong LIU, Danping SU, Tiankuo WEI, et al. Multi-node cooperation based robust visible light intelligent positioning[J]. Telecommunications science, 2023, 39(5): 28-41.
DOI：

Sicong LIU, Danping SU, Tiankuo WEI, et al. Multi-node cooperation based robust visible light intelligent positioning[J]. Telecommunications science, 2023, 39(5): 28-41. DOI： 10.11959/j.issn.1000-0801.2023103.

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。

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.

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references

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