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

Laser atmospheric flicker index prediction method and system

A technology of atmospheric scintillation and scintillation index, which is applied in the fields of laser engineering and optical communication, can solve problems such as time-consuming, poor robustness, and difficulty in eliminating the influence of external noise factors, and achieve the effects of accurate prediction, simple calculation, and avoiding the influence of external noise factors

Active Publication Date: 2022-04-29
INST OF FLUID PHYSICS CHINA ACAD OF ENG PHYSICS +1
View PDF8 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The technical problem to be solved by the present invention is that the calculation of the atmospheric scintillation index in the prior art is complex, time-consuming, difficult to eliminate the influence of external noise factors, and poor robustness. The purpose is to provide a laser atmospheric scintillation index prediction method and system, Through the neural network model, the problem of quickly and accurately calculating the atmospheric scintillation index and predicting the scintillation index is solved

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
  • Laser atmospheric flicker index prediction method and system
  • Laser atmospheric flicker index prediction method and system
  • Laser atmospheric flicker index prediction method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] Present embodiment 1 is a kind of laser atmospheric scintillation index prediction method, comprises the following steps:

[0039] Step S1: Construct the atmospheric turbulence simulation model, record the light intensity pattern after the reference beam passes through the atmospheric turbulence simulation model, and calculate the scintillation index after the reference beam passes through the atmospheric turbulence simulation model;

[0040]Step S2: Send the light intensity pattern and scintillation index as training data into the neural network for training to obtain a trained neural network model; use the trained neural network model to predict the scintillation index of the unknown light beam.

[0041] In this embodiment 1, the existing data generated by the reference beam (including the light intensity pattern and the scintillation index corresponding to the light intensity pattern) are used as training data to train the neural network to form a mature atmospheric s...

Embodiment 2

[0059] Present embodiment 2 is a kind of laser atmospheric scintillation index prediction method on the basis of embodiment 1, comprises the following steps:

[0060] Step A: In Example 2, a random phase screen is used to simulate atmospheric turbulence, and the transmission of light beams in the atmosphere is equivalent to "free space transmission + phase screen". The distribution of the phase screen is constructed according to the atmospheric model.

[0061] 1. Random phase screen simulation process:

[0062] (1) First put the random complex numbers that obey the standard normal distribution into the N×N matrix middle;

[0063] (2) It is then filtered with a random phase spectrum.

[0064] which is: . in: represents the random phase spectrum, Represents an N×N matrix ,

[0065] is the phase screen spacing;

[0066] ,

[0067] is the refractive index structure constant; , Generally take 2mm, k is the size of the spatial frequency, , L 0 Generally ...

Embodiment 3

[0091] Present embodiment 3 is on the basis of embodiment 2,

[0092] 1. Use MATLAB to numerically simulate the light intensity and scintillation index of the reference beam after passing through atmospheric turbulence. The effect of atmospheric turbulence on the beam is simulated using a random phase screen. Specifically: the beam is first transmitted through a certain distance in free space, and then a phase plate is added, and the distribution of the phase plate is constructed according to the atmospheric model; then it is transmitted through a certain distance in free space, and a phase plate is added; Transmission of similar structures.

[0093] 2. The light intensity map of the simulated Gaussian beam after passing through different intensities of atmospheric turbulence, the turbulence intensity is used Indicates that the range is 10 -18 -10 -14 . Among them, the turbulence intensity in each order of magnitude is divided into 2000, and the simulated beam passes thr...

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 laser atmospheric flicker index prediction method and system. The method comprises the following steps: constructing an atmospheric turbulence simulation model; recording a light intensity pattern after the reference light beam passes through the atmospheric turbulence simulation model, and calculating a flicker index after the reference light beam passes through the atmospheric turbulence simulation model; taking the light intensity pattern and the flicker index as training data, and sending the training data into a neural network for training to obtain a trained neural network model; and sending the light intensity pattern of the unknown light beam into the neural network model, and predicting the flicker index of the unknown light beam. The method overcomes the defects that in the prior art, calculation is complex, consumed time is long, influences of external noise factors are difficult to eliminate, and robustness is poor, and respective prediction of the atmospheric flicker indexes in the atmospheric models with different turbulence intensities is achieved through the neural network. Prediction is accurate, calculation is simple, and influences of external noise factors are avoided.

Description

technical field [0001] The invention relates to the fields of laser engineering and optical communication, in particular to a laser atmospheric scintillation index prediction method and system. Background technique [0002] In order to study the influence of atmospheric turbulence on laser propagation, it is very important to calculate the atmospheric scintillation index of laser. At present, the laser atmospheric scintillation index is mainly calculated by the following methods: [0003] (1) A random phase screen is used to simulate atmospheric turbulence. The turbulent influence in the continuous space is equivalent to the superposition of multiple equidistant turbulent phase screens, and then the actual transmission of the beam in the atmosphere is simulated by the turbulent random phase screen model and the angular spectrum transmission formula. Calculate the scintillation index of the beam according to the following formula: [0004] [0005] In the formula, the a...

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): G06F30/27G06N3/04G06N3/08G06F113/08
CPCG06F30/27G06N3/08G06F2113/08G06N3/045
Inventor 吴小龑刘国栋胡流森袁红赖雪恬陈子阳蒲继雄
Owner INST OF FLUID PHYSICS CHINA ACAD OF ENG PHYSICS
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