Visible light communication equalization method and system based on sparse Bayesian learning

Abstract

The invention relates to a visible light communication equalization method and system based on sparse Bayesian learning. The method comprises the following steps: acquiring an electric domain signal from a photoelectric detector; constructing a nonlinear equalizer by taking Volterra series as a basic framework and adopting a sparse Bayesian learning method and a Kalman filtering iteration method;performing adaptive compensation on the electric domain signal by using the nonlinear equalizer, and recovering an original sending symbol. According to the visible light communication equalization method and system based on sparse Bayesian learning provided by the invention, the adaptive compensation of complex dynamic nonlinearity and multipath transmission damage of a VLC system can be realized, and the communication performance of the VLC system is improved.

Description

technical field [0001] The present invention relates to the field of visible light communication, in particular to an equalization method and system for visible light communication based on sparse Bayesian learning. Background technique [0002] The rapid development of mobile Internet technology and the multiplication of wireless data services will inevitably bring about explosive growth in spectrum demand, and the contradiction between spectrum supply and demand will become more prominent. Visible Light Communication (VLC) is an effective solution to the problem of spectrum shortage. With the light-emitting characteristics of light-emitting diodes (Light Emitting Diode, LED), VLC not only has the advantages of no electromagnetic interference and green environmental protection, but also has the dual functions of lighting and communication. It is used in electromagnetically sensitive environments such as mines, nuclear power plants, engine rooms and hospitals. Traditional r...

AI Technical Summary

Problems solved by technology

[0004] There are many problems in the existing VLC system, so that the signal at the receiving end of the VLC system is far from the original signal. The reasons for this phenomenon are as follows:

[0005] The problem of non-ideal lighting device characteristics: In the VLC system, many factors will introduce nonlinear distortion, and the nonlinear characteristics of LEDs, photoelectric converters (PD), power amplifiers (PA) and other devices will introduce nonlinear distortion

But this will result in repeated design and waste of resources

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