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A Method for Evaporating Waveguide Profile Estimation Based on Deep Neural Network

A technology of deep neural network and evaporation waveguide, which is applied in neural learning methods, biological neural network models, neural architectures, etc., can solve the problems of difficult estimation of evaporation waveguide profile and low calculation efficiency, and achieve the effect of ensuring communication quality

Active Publication Date: 2022-04-12
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0007] In order to avoid the deficiencies of the prior art, the present invention proposes a method for estimating the evaporation waveguide profile based on a deep neural network, which solves the problem of low calculation efficiency of the traditional evaporation waveguide profile prediction model and difficulty in estimating the evaporation waveguide profile in large-area sea areas

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  • A Method for Evaporating Waveguide Profile Estimation Based on Deep Neural Network

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Embodiment Construction

[0044] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0045]The method is characterized in that the reanalysis meteorological data of the climate prediction system of the National Environmental Prediction Center of the United States is used as the training input of the deep neural network, and the atmospheric corrected refractive index calculated by the evaporation waveguide calculation model is used as the training output of the network, combined with the corrected refractive index theory, evaporation Waveguide characteristics, deep neural network algorithm, standard normalization principle, etc., train the deep neural network to obtain a deep neural network model that can estimate the evaporation waveguide profile in the area and calculate the evaporation waveguide height. Using the deep neural network obtained through training, the calculation formula of the evaporation waveguide profile is constructed, and the me...

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Abstract

The invention relates to a method for estimating the profile of an evaporation waveguide based on a deep neural network, which can quickly estimate the modified refractive index profile of the evaporation waveguide and the height of the evaporation waveguide in a designated ocean area. This method aims at the shortcomings of low iterative calculation efficiency of the existing evaporation waveguide model, uses the climate prediction system of the National Environmental Prediction Center of the United States, and then analyzes the meteorological data and the atmospheric correction refractive index calculated by the evaporation waveguide calculation model, trains a deep neural network, and uses The accuracy of the data verification method for random positions in the training area (except for training points), and a method for estimating the evaporation duct profile based on a deep neural network, which can be used for the prediction of evaporation ducts in large-area sea areas, and real-time monitoring of the distribution of evaporation duct heights , it is convenient to quickly change the communication strategy according to the change of the evaporative waveguide, and ensure the quality of the communication beyond the line of sight at sea.

Description

technical field [0001] The invention belongs to the technical fields of offshore surface evaporation waveguide, atmospheric correction refractive index, maritime over-the-horizon communication, evaporation waveguide calculation model, deep learning, etc., and relates to an evaporation waveguide profile estimation method based on a deep neural network. It involves a large-area evaporation waveguide profile estimation method, using high-resolution reanalysis of meteorological data, combined with the basic equations of atmospheric motion, atmospheric boundary layer similarity theory, modified refractive index theory, evaporation waveguide calculation model, standard normalization method, depth A method for estimating the profile of the evaporation waveguide is obtained by using neural network algorithm and so on. When the meteorological data of a large area of ​​the sea is used as input, it can be used for real-time monitoring of the sea evaporation duct. Background technique ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/04G06N3/08G06F16/29
CPCG06N3/084G06F16/29G06N3/045
Inventor 杨坤德杨帆王淑文
Owner NORTHWESTERN POLYTECHNICAL UNIV
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