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Flat-plate crack antenna modelling approach based on SVMR

A technology of support vector regression and slot antenna, applied in the field of non-mechanism modeling, can solve the problems of difficult determination of model parameters and long time-consuming electromagnetic numerical calculations, and achieve the goal of overcoming the difficulty of determining model parameters, avoiding the numerical calculation process of electromagnetic fields, and quickly estimating Effect

Inactive Publication Date: 2010-06-02
10TH RES INST OF CETC
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0006] The purpose of the present invention is to provide a method for accurately and quickly estimating the randomness of the flat-panel slot antenna in view of the problems that the complex and changeable mechanical structure factors of the existing flat-panel slot antenna have great influence on the electrical performance, the model parameters are difficult to determine, and the electromagnetic numerical calculation takes a long time. The electrical performance value under the condition of structural parameters can avoid a large number of electromagnetic field numerical calculation processes based on the non-mechanism modeling method of the support vector regression machine, so as to overcome the problem of difficult determination of the model parameters in the application of the support vector regression machine, so as to solve the problem of flat plate Research on the Influence Mechanism of Slot Antenna's Complex and Variable Mechanical Structure Factors on Electrical Performance

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  • Flat-plate crack antenna modelling approach based on SVMR
  • Flat-plate crack antenna modelling approach based on SVMR
  • Flat-plate crack antenna modelling approach based on SVMR

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Embodiment Construction

[0023] The specific implementation steps of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0024] Refer to figure 2 When performing vector regression machine modeling, the selection of the optimal model is a very critical task. The quality of the model directly affects the calculation accuracy of the predicted value. In the optimization process of the model, the value range of the three parameters of the support vector regression machine model is initially determined according to the number and dimension of the training sample data, and then the genetic algorithm is used to optimize the parameters to obtain the optimal parameter combination. Use randomly generated test samples to verify the model. If the regression performance of the model fails to meet the requirements, increase the number of training samples, and rebuild and optimize the support vector regression machine model until the required accuracy is reach...

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Abstract

The invention provides a method for modeling the planar slot antenna based on a supporting vector regression; according to the main mechanical structure parameters and value range of functional components of a planar slot antenna, Latin Hypercube Sample method is utilized to select proper test data, and then simulated numerical computation of electromagnetic fields is applied to modeled objects soas to obtain training samples for a model of the supporting vector regression and then to establish the model for the supporting vector regression of f(x)= (sigma) summation of <n>i=1(a-a<*>)K(x,x)+b. A genetic algorithm is used for optimizing the parameters of the established model to obtain an optimal model, and then a test sample generated randomly is used for validating the performance of the sample. The method provided by the invention for modeling the planar slot antenna based on the supporting vector regression can accurately and rapidly estimate the electrical property valuesof the planar slot antenna with arbitrary structure parameters, avoid electromagnetic numerical computation, and solve mechanism research in influence of the mechanical structure factor of the planarslot antenna on the electrical property and the problem of design and optimization of the planar slot antenna, thus establishing a reliable foundation and basis for selecting the modeling and the processing precision of the planar slot antenna.

Description

Technical field [0001] The present invention relates to a non-mechanical modeling method in the field of microwave antenna engineering application research. More specifically, the present invention relates to a method for establishing a flat slot antenna model based on a support vector regression machine. Background technique [0002] The flat slot antenna has significant advantages such as low sidelobe, high gain, small size, light weight, strong anti-interference ability and good installation conditions. With the increase of the working frequency band, especially the millimeter wave frequency band, its electrical performance is very sensitive to the fluctuation of mechanical structural factors. Therefore, studying the mechanism of the influence of mechanical structural factors on the electrical performance of the plate slot antenna can improve its development level. As with other electromagnetic engineering applications, to accurately simulate the electrical performance of the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50G06N1/00G06N99/00
Inventor 严志坚向国齐
Owner 10TH RES INST OF CETC
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