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

High-fidelity holographic orbital angular momentum communication method based on deep learning

A technology of orbital angular momentum and deep learning, applied in the field of high-fidelity holographic orbital angular momentum communication, can solve the problems of ultra-efficient holographic communication and information transmission in its infancy, and achieve the expansion of communication capacity and security, high fidelity, high safety effect

Active Publication Date: 2021-10-01
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF2 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the use of machine learning methods to decode ultra-efficient holographic communication and information transfer is still in its infancy

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
  • High-fidelity holographic orbital angular momentum communication method based on deep learning
  • High-fidelity holographic orbital angular momentum communication method based on deep learning
  • High-fidelity holographic orbital angular momentum communication method based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] The high-fidelity holographic orbital angular momentum communication method based on deep learning disclosed in the embodiment, the process is as follows figure 1 As shown, the hologram information can be transmitted to the receiving end with the illumination of any wavelength on the hologram. The specific implementation method is as follows:

[0029] Step 1: The calculation flow chart of the OAM encryption-based computational hologram is attached figure 2 (a) shown. The encrypted hologram is computed by improving the conventional GS algorithm with OAM as the key and the original graph from the conventional handwritten digit dataset (MNIST). A combination of OAM and randomly selected handwritten digits is randomly selected, so that a large number of encrypted holograms can be generated. In this embodiment, 10,000 pieces of handwritten digits are selected, and 512 types of OAMs with different topological charge numbers are selected. Reconstructing the encrypted holo...

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 relates to a high-fidelity holographic orbital angular momentum communication method based on deep learning, and belongs to the field of deep learning and information encryption. The invention provides a holographic orbital angular momentum communication method for orbital angular momentum hologram coding and deep learning decoding. Orbital angular momentum information and image information are coded into different holograms, and after propagation, at a receiving end, the coded holograms reconstruct a high-quality image through a hologram of a trained neural network. On the other hand, orbital angular momentum information carried by the hologram is converted into sequence information by a neural network and is decoded into a grayscale image or a sequence code. The communication method provided by the invention can be used for expanding the communication channel and improving the communication security. The method can be applied to the field of encrypted digital modulation / demodulation and information encryption, and the channel transmission capacity can be expanded.

Description

technical field [0001] The invention relates to a high-fidelity holographic orbital angular momentum communication method based on deep learning, and belongs to the fields of deep learning and information encryption. Background technique [0002] Orbital angular momentum (OAM) has attracted increasing interest in various applications such as optical control, computational holography, data communication, super-resolution microscopy, etc. interest. A beam carrying OAM, also known as a vortex beam, can be described by exp(ilφ), where Indicates the azimuth angle, and the topological charge l is an integer. The topological charge represents the number of periods of the helical phase of the beam within one helical pitch, including phase. Orbital angular momentum communication technology can greatly improve the capacity and efficiency of communication system channels. Therefore, in communication, orbital angular momentum technology has been developed rapidly. With the advan...

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 Applications(China)
IPC IPC(8): G06F21/60G06N3/04G06N3/08H04N7/22G03H1/00G03H1/08
CPCG06F21/602G06N3/08H04N7/22G03H1/0005G03H1/0866G06N3/045
Inventor 黄玲玲周宏强王涌天李晓炜
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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