Visible light communication equalization method based on radial basis function neural network

A technology of visible light communication and neural network, applied in the field of visible light communication equalization based on radial basis function neural network, can solve the problems of inter-symbol interference, low transmission rate, limited modulation bandwidth, etc.

Inactive Publication Date: 2019-02-15
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0006] The purpose of the present invention is to provide a visible light communication equalization method based on radial basis function neural network to solve the problems of limited modulation bandwidth, low transmission rate and

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  • Visible light communication equalization method based on radial basis function neural network
  • Visible light communication equalization method based on radial basis function neural network
  • Visible light communication equalization method based on radial basis function neural network

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Embodiment Construction

[0037] The specific implementation manner of the present invention will be further described below in conjunction with the drawings and embodiments. The following examples are only used to illustrate the present invention, but not to limit the scope of the present invention.

[0038] In this embodiment, the signal transmission process of the entire visible light communication system is as follows figure 2 Shown:

[0039] Step 1: Generate a random signal bit stream a(n), send the original sequence to the coding module for coding, the coding module outputs the signal to the modulation module for modulation, and then send the modulated signal x(n) to the Bias-Tee signal coupling module , increase the DC bias to complete the electro-optical conversion, and the optical signal is received by the photodetector at the receiving end through the visible light channel;

[0040] Step 2: At the signal receiving end, the channel noise w(n) and the original optical signal s(n) are receive...

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Abstract

The invention discloses a visible light communication equalization method based on a radial basis function neural network. The method is used for improving bit error rate performance of the visible light communication, improving equalization algorithm convergence speed and reducing the complexity degree of the traditional neural network equalization. The method comprises the following steps: sending a signal to a receiving end from a sending end through a visible light channel, analyzing a relation between an input signal and a transmitting signal of an equalizer, accomplishing nonlinear change of the signal through a neural network implicit strata determined by a radial basis function, mapping the input to an exit layer, performing linear weighting on an implicit node output by an outputlayer and optimizing an equalizer structure; performing center vector learning by using k-mean clustering algorithm, training the neural network, and minimizing the error function; finally performingjudgment output, recovering a sending sequence, and realizing an equalization aim. The invention realizes a visible light communication equalization method based on the radial basis function neural network, the communication quality and a transmission rate of the visible light communication are improved, the training duration of the equalization algorithm is shortened, and the system complexity isreduced.

Description

technical field [0001] The present invention relates to the field of visible light communication, in particular to a visible light communication equalization method based on a radial basis function neural network. Background technique [0002] LED-based visible light communication (Visible Light Communication, VLC) technology is a broadband wireless access technology, which has the advantages of rich spectrum resources, large potential communication capacity, good confidentiality, green safety, and no license. Visible light communication integrates lighting and communication technology, which not only meets the needs of modern development of green and energy-saving, but also uses free spectrum to obtain higher data transmission rate and higher signal-to-noise ratio than traditional wireless communication systems, which can alleviate the current Radio frequency spectrum resources are increasingly scarce and other issues. As an emerging wireless communication technology, visi...

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Application Information

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IPC IPC(8): H04B10/116H04L25/03
CPCH04B10/116H04L25/03165
Inventor 黄治同王凡尘纪越峰
Owner BEIJING UNIV OF POSTS & TELECOMM
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