Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A neuron network-based visible light communication receiving method and system thereof

A neuron network and visible light communication technology, applied in the field of visible light communication receiving method and its system, can solve the problems of no data optimization processing and different merging methods, and achieve the effect of reducing bit error rate, increasing capacity, and eliminating intersymbol interference

Active Publication Date: 2017-10-20
SOUTH CHINA UNIV OF TECH
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the time-varying and random nature of the wireless channel, the combination methods selected in different environments are different; and the received data is the original data disturbed in the channel, and the data is not further optimized.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A neuron network-based visible light communication receiving method and system thereof
  • A neuron network-based visible light communication receiving method and system thereof
  • A neuron network-based visible light communication receiving method and system thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0038] Such as figure 1 As shown, a visible light communication system based on neuron network. Including: transmitting subsystem, transmitting subsystem, receiving subsystem. In the transmitting subsystem, the camera receives a real-time video signal and transmits it to the first liquid crystal display through the first programmable gate array; the first liquid crystal display shows the original video signal; After the video signal is modulated and processed with corresponding video signal processing technology, it is transmitted to the LED drive circuit; the LED drive circuit drives the LED lamp to emit visible light signals. Such as figure 2 As shown, it is a schematic diagram of the LED driving circuit. Through the T-type combination of the capacitance and the inductance of the BiasTee structure, the coupling of the DC signal and the AC signal is realized to ensure that the signal will not be lost in the LED.

[0039] Further, the optical signal reaches the receiving s...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a neuron network-based visible light communication receiving method, comprising the following steps: 1. A first programmable gate array converts a video signal sent by a signal source into a digital signal; 2. The digital signal passes through an LED drive circuit Drive LED lamps to emit light signals; 3. The light signals enter the receiving subsystem through n photoelectric detection devices; 4. The n data streams are input to the trained neuron merging module; 5. The neurons The meta-combining module equalizes the n data streams and outputs the combined data stream; the combined data stream is converted into a video signal through the demodulation process of the second programmable gate array. The present invention also discloses a visible light communication receiving system for implementing the neuron network-based visible light communication receiving method, including: a transmitting subsystem, a transmitting subsystem and a receiving subsystem. The invention has the advantages of wide application prospect and the like.

Description

technical field [0001] The present invention relates to visible light communication technology, in particular to a neuron network-based visible light communication receiving method and system thereof. Background technique [0002] Compared with traditional infrared and wireless communication, LED visible light communication technology has the advantages of high transmission power, no electromagnetic interference, no need to apply for spectrum resources and confidentiality of information. However, visible light communication still faces many challenges, one of the biggest challenges is that inter-symbol interference greatly limits the data transmission rate of visible light communication systems. White LEDs used for lighting are generally in the form of LED arrays. Different point light source LEDs correspond to different optical paths, and the delay in signal transmission between optical paths will cause inter-symbol interference; at the same time, when the system data trans...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04B10/116
Inventor 文尚胜关伟鹏张恒张广慧
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com