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Antenna rapid optimization design method

An optimized design and antenna technology, applied in the field of Gaussian process modeling for antenna design, rapid antenna design, can solve problems such as high calculation cost and large data volume

Pending Publication Date: 2019-04-16
JIANGSU UNIV OF SCI & TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When GP modeling needs to use high-precision discrete data sets as training data to ensure the prediction accuracy of the model, but for antenna models with complex model structures, large numbers of variables, and large floating ranges of variables, it is necessary to train a GP model with standard accuracy Requires a large amount of data, so its computational cost is too high

Method used

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  • Antenna rapid optimization design method
  • Antenna rapid optimization design method
  • Antenna rapid optimization design method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0102] Design an inverted F antenna as figure 2 As shown, where A is the excitation port, B is the ground hole, the optimization design index is the return loss at the resonance frequency S 11 Less than -20dB, and its -10dB bandwidth is greater than 100MHz. When designing an inverted-F antenna, the resonant length L of the antenna, the height H of the antenna and the distance S between the two vertical arms determine the input impedance, resonant frequency, and antenna bandwidth of the antenna. The constant size parameters are shown in Table 1.

[0103] Table 1 Inverted-F Antenna Structure Parameters

[0104]

[0105] Specific steps are as follows:

[0106] (1) Establish the model of HFSS, such as image 3 As shown, the material of the dielectric layer is the most commonly used glass fiber epoxy resin (FR4) in PCB, and its relative dielectric constant ε r =4.4, tanδ=0.02.

[0107] (2) Population particle position and velocity initialization: adopt the method of ortho...

Embodiment 2

[0113] Design a GPS Beidou dual-mode microstrip antenna, such as Figure 6 As shown, the optimal design index is: at 1.561GHz (Beidou B1 operating frequency) and 1.573GHz (GPSL1 operating frequency), the VSWR is less than or equal to 1.5, at 1.561GHz (Beidou B1 operating frequency) and 1.573GHz (GPSL1 operating The polarization at frequency) is right-handed circular polarization and the polarization gain is greater than or equal to 4dBic. In this example, by optimizing W, L 1 , L 2 To achieve the design index, the values ​​of each parameter are shown in Table 2.

[0114] Specific steps are as follows:

[0115] (1) Establish the model of HFSS, such as Figure 7 As shown, the dielectric substrate material is the relative permittivity of ε r =4.5 Arlon AD450, the top of the dielectric plate is covered with a square radiation patch, and the four sides of the patch are two kinds of branches with the same width and different lengths. These two branches correspond to the two wo...

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Abstract

The invention discloses a Gaussian process (GP) modeling based on PSO (Particle Swarm Optimization) fitness estimation and used for designing an antenna. The Gaussian process (GP) modeling is based onthe PSO fitness estimation. When the GP model is constructed, one part of data comes from the accurate simulation value of the full-wave electromagnetic simulation software, and the other part of data comes from the fitness estimation value of the PSO algorithm, that is, the preparation time for GP modeling data is shortened by reducing the time-consuming accurate simulation times, so that the purpose of efficient and rapid modeling is achieved. And finally, the time-consuming fitness value calculation is replaced by the GP of which the precision reaches the standard to reduce the design time, so that the time required by the whole optimization process is shortened. By optimizing and designing an Inverted-F antenna (Inverted-F Antennae, IFA) and a GPS Beidou dual-mode microstrip antenna (GPS and Beidou Dual-mode Microstrip Antenna), the method is verified, and the high efficiency and accuracy of the method are proved.

Description

technical field [0001] The invention relates to a rapid antenna design method, in particular to a Gaussian Process (GP) modeling method based on particle swarm optimization (PSO) fitness estimation for antenna design, which belongs to the field of microwave electromagnetic technology. Background technique [0002] In the microwave field, it is often necessary to optimize the design of some antennas with complex structures and / or complex media. Since these complex antennas generally have a large number of discontinuities, it is difficult to use an explicit method for optimal design. To express the relationship between the design variables and the objective function, that is, it is difficult to find the corresponding Maxwell equations and boundary conditions for accurate solution, usually it is necessary to use numerical simulation calculation or full-wave electromagnetic simulation software to establish this relationship. When the full-wave electromagnetic simulation software...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 范箫鸿田雨波
Owner JIANGSU UNIV OF SCI & TECH
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