Research on the equalization algorithm of indoor visible light communication

Guolu Huang; Ping Li; Yuru Wang; Zhenping Lan

doi:10.1117/12.2689451

10 August 2023 Research on the equalization algorithm of indoor visible light communication

Guolu Huang, Ping Li, Yuru Wang, Zhenping Lan

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127481S (2023) https://doi.org/10.1117/12.2689451
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

For multipath effects and frequency fading of channels in indoor visible light communication systems. In this paper, an improved LMS algorithm is proposed to compensate for the channel. First, the channel model of indoor visible light communication and the simulation model of orthogonal frequency division multiplexing (OFDM) are built.The simulation verifies the effect of eigenvalue distribution, filter order and step size on the LMS algorithm. Secondly, the NLMS algorithm proposed in this paper solves, to a certain extent, the inherent contradiction that the convergence speed and steady-state error of the LMS algorithm cannot be reasonably coordinated. The simulation results show that: The algorithm improves the convergence speed and reduces the computational complexity compared with the LMS algorithm, which effectively improves the performance of visible light communication systems.

Citation Download Citation

Guolu Huang, Ping Li, Yuru Wang, and Zhenping Lan "Research on the equalization algorithm of indoor visible light communication", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127481S (10 August 2023); https://doi.org/10.1117/12.2689451

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KEYWORDS

Tunable filters

Visible light communication

Receivers

Light sources

Reflection

Orthogonal frequency division multiplexing

Error analysis

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