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Meteorological radar detection mode identification method and system based on improved genetic algorithm

A technology for improving genetic algorithms and weather radars. It is applied in character and pattern recognition, genetic laws, radio wave measurement systems, etc. It can solve the problems of difficulty in guaranteeing validity and low efficiency of adjustment methods, and achieves faster convergence speed and less computation. , the effect of improving efficiency

Pending Publication Date: 2021-06-11
航天新气象科技有限公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the low efficiency of the existing weather radar detection parameter adjustment method and the defects that the effectiveness is difficult to guarantee, the present invention proposes a weather radar detection pattern recognition method and system based on an improved genetic algorithm

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  • Meteorological radar detection mode identification method and system based on improved genetic algorithm
  • Meteorological radar detection mode identification method and system based on improved genetic algorithm
  • Meteorological radar detection mode identification method and system based on improved genetic algorithm

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Embodiment 1

[0073] This embodiment is a weather radar detection pattern recognition method based on an improved genetic algorithm, which is suitable for scenarios that require weather radar calibration, data comparison, pattern matching, numerical forecast element acquisition, mobile weather detection, etc., such as figure 1 shown, including the following steps:

[0074] Step S1, the data acquisition stage, the meteorological echo signal is obtained by transmitting and receiving electromagnetic waves through the weather radar, and it is preprocessed to generate training data and application data;

[0075] Step S2, the offline mode training process, using the improved genetic algorithm, using the historical mode parameters stored in the mode library as the initial sample, searching for the best mode parameters in the parameter library, so that the training data is carried out under the optimal mode parameters The error between the result obtained by the data signal processing and the refer...

Embodiment 2

[0083] The embodiment of the present invention specifically introduces the data acquisition stage in step S1 of embodiment 1, including the following steps:

[0084] Step S11, the detection process, the weather radar emits modulated electromagnetic waves of a specific frequency into the air, and receives the atmospheric echo analog signal reflected by the tracer;

[0085] Step S12, the meteorological radar samples, filters, and quantizes the atmospheric echo analog signal to obtain a digital echo signal containing meteorological information;

[0086] In step S13, the meteorological radar further filters the digital echo signal, decodes the coded signal, and obtains training data for offline mode training and application data for online mode application.

[0087] The above steps provide data for time-frequency domain analysis and signal data processing for offline mode training and online mode application.

Embodiment 3

[0089] The embodiment of the present invention specifically introduces the offline mode training process of step S2 in Embodiment 1, and the specific implementation process is as follows:

[0090] Step S21, obtaining training data and reference data as a control group;

[0091] In step S22, a total of N groups of initial detection mode parameters are randomly selected in the mode library and the parameter library; wherein, the model library stores the optimal detection mode parameters of each previous weather radar at each deployed physical location; the parameter library All possible combinations of the current weather radar detection mode parameters are stored;

[0092] Step S23, using the initial detection mode parameters as the initial population, taking the comprehensive error between the weather radar products obtained after the training data is processed by the detection mode parameters and the weather radar products contained in the reference data as the fitness evalua...

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Abstract

The invention discloses a meteorological radar detection mode identification method and system based on an improved genetic algorithm, and the method comprises the steps: a data acquisition stage: transmitting and receiving electromagnetic waves through a meteorological radar to obtain a meteorological echo signal, and carrying out the preprocessing of the meteorological echo signal, and generating training data and application data; an offline mode training process: using historical mode parameters stored in a mode library as initial samples by using an improved genetic algorithm, and searching optimal mode parameters in a parameter library, so that the error between a result obtained by carrying out data signal processing on training data under the optimal mode parameters and reference data is minimum, taking the corresponding mode parameters as matching mode parameters and storing the matching mode parameters in a mode library; and an online mode application process: carrying out data signal processing according to the matching mode parameter application data to obtain a meteorological radar product. According to the identification method provided by the invention, the meteorological radar can work in the most matched detection mode, and the identification method is suitable for scenes needing meteorological radar calibration, data comparison, maneuvering meteorological detection and the like.

Description

technical field [0001] The invention relates to the technical field of meteorological radar detection, in particular to a method and system for recognizing a weather radar detection pattern based on an improved genetic algorithm. Background technique [0002] Meteorological radar, as a type of atmospheric telemetry sensing equipment, is increasingly used in meteorological support services for military and civilian activities such as aerospace and civil aviation airports. At the same time, it plays an important role in scientific research fields such as artificial weather modification and numerical weather forecasting. Common meteorological radars include wind radar (wind profile radar), cloud radar, and rain radar (weather radar), which can detect atmospheric wind field, cloud layer, precipitation and other related meteorological elements. [0003] Before the weather radar runs stably, in order to make the detection mode of the weather radar best match the current detection ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/95G06K9/00G06K9/62G06N3/12
CPCG01S13/95G06N3/126G06F2218/12G06F18/241Y02A90/10
Inventor 郑秀明李晓宇张滢杨道勇王志锐黄勇袁阅孙世奇夏一凡孙国栋
Owner 航天新气象科技有限公司
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