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

• Topic: Visible Light Communication • Previous Articles     Next Articles

Multi-node cooperation based robust visible light intelligent positioning

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

  1. 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)

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

CLC Number: 

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