Modeling design method for ultra-wideband antenna with double notch characteristics based on FOA-GRNN

An ultra-wideband antenna and design method technology, applied in antennas, design optimization/simulation, and devices that make antennas work in different frequency bands at the same time, can solve problems such as reducing design speed and increasing design difficulty, and achieves improved simulation speed and efficiency. Accuracy, shorten the design cycle, simplify the effect of the design process

Pending Publication Date: 2020-09-11
LIAONING TECHNICAL UNIVERSITY
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When designing a device, once a certain physical size of the antenna needs a small change, the design needs to be re-optimized, and a complete electromagnetic simulation process needs to be completed, which reduces the design speed and increases the design difficulty.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Modeling design method for ultra-wideband antenna with double notch characteristics based on FOA-GRNN
  • Modeling design method for ultra-wideband antenna with double notch characteristics based on FOA-GRNN
  • Modeling design method for ultra-wideband antenna with double notch characteristics based on FOA-GRNN

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0037] A FOA-GRNN-based modeling and design method for ultra-wideband antennas with dual notch characteristics. On the MATLAB platform, the FOA-GRNN network model is established. The overall flow chart is as follows figure 1 shown, including the following steps:

[0038] Step 1: Select the sample object; select an ultra-wideband antenna with dual notch characteristics, and use the relationship data between its return loss |S11| and frequency f as the input sample of the model;

[0039] The model is to utilize the electromagnetic simulation software HFSS15.0 simulation software to carry out the simulation modeling of the radio frequency characteristics of the ultra-wideband antenna with double notch characteristics; when the return loss is less than -10dB, the antenna bandwidth is 2.8-12.3GHz, and the set frequency With a step size of 0.1 GHz, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a modeling design method for an ultra-wideband antenna with double notch characteristics based on FOA-GRNN, and relates to the technical field of radio frequency microwave device neural network modeling. According to the method, training set data is extracted by selecting a sample object, basic parameters are set, a smooth factor of a generalized regression neural network isused as a parameter to be optimized, a root-mean-square error of prediction data is used as a fitness function, the smooth factor is optimized by using a fruit fly algorithm, and an FOA-GRNN networkmodel is established. The FOA-GRNN model is used to predict the miniaturized ultra-wideband antenna with the double notch characteristics, the data of the return loss | S11 | and the frequency f of the antenna is used to train the model, and the relative error of the prediction output data of the model is calculated and compared with the GRNN network. The method has the advantages of better prediction capability, high convergence rate and higher precision.

Description

technical field [0001] The invention relates to the technical field of neural network modeling of radio frequency microwave devices, in particular to a modeling and design method of an ultra-wideband antenna with double notch characteristics based on FOA-GRNN. Background technique [0002] With the rapid development of today's mobile communications, wireless local area networks, radio frequency identification, etc., wireless communication systems have shown great potential, and the design of radio frequency microwave devices directly affects the performance of the entire communication system. [0003] The antenna plays an indispensable role in wireless communication technology. It is the core component that carries the transmission and reception of wireless electromagnetic waves and completes electromagnetic conversion. Among them, the ultra-wideband notch antenna has the advantages of small size, wide coverage bandwidth, high radiation efficiency, and can avoid interference...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N20/20H01Q5/25
CPCG06F30/27G06N20/20H01Q5/25
Inventor 南敬昌曹馨元高明明陶成健张沛泓
Owner LIAONING TECHNICAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap