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Fast multi-target antenna design method based on dynamic updating of agent model

A proxy model and dynamic update technology, applied in computing, electrical digital data processing, special data processing applications, etc., can solve problems such as expensive computing, achieve the effects of improving prediction accuracy, efficient solution, and reducing computing costs

Active Publication Date: 2016-10-12
CENT SOUTH UNIV
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Problems solved by technology

At present, the literature still lacks an effective method for solving this type of problem, which is computationally expensive

Method used

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  • Fast multi-target antenna design method based on dynamic updating of agent model
  • Fast multi-target antenna design method based on dynamic updating of agent model
  • Fast multi-target antenna design method based on dynamic updating of agent model

Examples

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Embodiment 1

[0035] The effectiveness of the present invention is illustrated by designing a 2-objective planar multi-band antenna. The multi-objective intelligent algorithm chooses the decomposition-based multi-objective evolutionary algorithm (MOEA / D), the proxy model chooses the Kriging model, and the electromagnetic simulation tool uses HFSS.

[0036] The whole method flow is as figure 1 Shown:

[0037] Step 1: Antenna modeling;

[0038] Antenna modeling is to construct an initial antenna model such as figure 2 As shown, the design space Ω of the antenna model, that is, its constraint condition is the size limit of 10 antenna parameters, as shown in Table 1.

[0039] Table 1 shows the constraints of antenna modeling (unit: mm)

[0040]

[0041] Step 2: The Latin hypercube selects multiple sets of antenna design parameters in the design space to construct the Kriging model;

[0042] Using the Latin hypercube sampling method, 200 groups of antenna design parameter variables are s...

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Abstract

The invention discloses a fast multi-target antenna design method based on dynamic updating of an agent model. The agent model is utilized for fitting electromagnetic simulation data of an antenna design parameter sample, electromagnetic simulation consuming a long time is replaced for achieving instantaneous approximate calculation from antenna structure parameters to electromagnetic responses, therefore, the electromagnetic response frequency is reduced, and the calculation cost is greatly reduced; meanwhile, the antenna design parameter sample is newly added in the antenna design process for dynamically updating the agent model, so that the prediction precision of the agent model is improved. According to the fast multi-target antenna design method based on dynamic updating of the agent model, the antenna design efficiency is greatly improved, the method is suitable for solving various antenna structure continuous parameter variable design problems and more remarkable in advantage when especially used for solving the complex high-dimensional multi-target antenna design problem.

Description

technical field [0001] The invention belongs to the field of antenna design and relates to a fast multi-objective antenna design method based on a dynamic update agent model. Background technique [0002] Microwave / RF antennas are critical components of modern wireless communication systems, and they must meet stringent system requirements for their electrical and geometric performance. To be reliable, the antenna design process needs to consider the application environment of the actual antenna structure, including the radiator including the feed network, and the housing, connectors or adjacent subsystems near the structure. Therefore, conventional experience or formulas cannot be used for such a structure, and high-precision electromagnetic (Electromagnetics, EM) simulation becomes necessary, but its calculation and analysis costs are expensive. Furthermore, the relationship between tunable parameters (including material and geometry) and antenna performance parameters is...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/367
Inventor 董健李茜茜邓联文
Owner CENT SOUTH UNIV
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