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Neural network equalization method used for indoor visible light communication system

A visible light communication and neural network technology, applied in the field of visible light wireless communication, can solve problems in the research stage and achieve the effects of reducing system complexity, reducing bit error rate, and shortening training time

Active Publication Date: 2015-10-28
CHONGQING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

In radio communication systems, channel equalization technology has been very mature, but for visible light communication systems, channel equalization technology is still in the research stage

Method used

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  • Neural network equalization method used for indoor visible light communication system
  • Neural network equalization method used for indoor visible light communication system
  • Neural network equalization method used for indoor visible light communication system

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Embodiment Construction

[0035] Below in conjunction with accompanying drawing, the present invention will be further described:

[0036] figure 1 It is a system block diagram of the method of the present invention. As shown in the figure, the visible light communication system includes a signal sending end A, an optical wireless communication channel B, and a signal receiving end C.

[0037]Signal sending end A is composed of encoding module, modulation module, LED driver module, Bias-Tee signal coupling module and LED light source module. At the signal sending end, the output end of the white LED driver module is connected to the DC input end of the Bias-Tee signal coupling module, and the output end of the signal modulation module A2 is connected to the AC input end of the Bias-Tee signal coupling module. First, the input data is passed through the encoding module and then output. The coding module may include source coding and channel coding, or only channel coding, depending on specific require...

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Abstract

The invention provides a neural network equalization method used for an indoor visible light communication system, and belongs to the visible light wireless communication technology field. The method includes the steps: utilizing a ceiling bounce model to calculate a VLC channel impulse response, carrying out photoelectric conversion for a visible light power signal received by a receiving end, and sending a sequence to a neutral network channel equalizer after amplification sampling; utilizing a heredity algorithm to optimize initialization weights and thresholds among neurons, establishing a neural network for training, and minimizing an error function; and judging an output, restoring the sent sequence, and finally achieving an equalization purpose. According to the scheme, interference among codes is obvious minimized, an error rate is reduced, the communication quality is further improved, a transmission rate that the system can reach is increased, the training time is shortened, and the system complexity is reduced.

Description

technical field [0001] The invention belongs to the field of visible light wireless communication, and relates to a neural network equalization method used in an indoor visible light communication system. Background technique [0002] Due to the depletion of network frequency band resources, network interference, and network leaks are becoming increasingly serious, we need to find new network communication technologies that can overcome the above problems, and visible light communication technology is one of the most promising technologies. [0003] Visible Light Communication (Visible Light Communication, VLC) technology is a new wireless optical communication method that uses visible light as an information carrier. dual function. The light emitted by visible light communication is the part of the electromagnetic spectrum that can be perceived by the human eye. The wavelength is between 380nm and 780nm, which is safe for human eyes. The visible light wireless communicati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B10/116H04L25/03
Inventor 陈前斌易利唐伦
Owner CHONGQING UNIV OF POSTS & TELECOMM
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