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Koch snowflake ultra-wideband antenna reverse modeling method based on IACO-BRBP neural network

An ultra-wideband antenna and neural network technology, applied in the field of reverse modeling of Koch snowflake ultra-wideband antenna, can solve problems such as increasing design time and increasing design difficulty, and achieves the effect of improving convergence speed and accuracy and shortening running time.

Pending Publication Date: 2021-05-28
LIAONING TECHNICAL UNIVERSITY
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Problems solved by technology

During the design process, if the target parameters of the antenna change, the simulation needs to be re-optimized, which increases the design time and increases the difficulty of the design

Method used

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  • Koch snowflake ultra-wideband antenna reverse modeling method based on IACO-BRBP neural network
  • Koch snowflake ultra-wideband antenna reverse modeling method based on IACO-BRBP neural network
  • Koch snowflake ultra-wideband antenna reverse modeling method based on IACO-BRBP neural network

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[0032] The specific implementation of the present invention will be described in detail below in conjunction with the accompanying drawings. As a part of this specification, the principles of the present invention will be described through examples. Other aspects, features and advantages of the present invention will become clear through the detailed description. In the referenced drawings, the same reference numerals are used for the same or similar components in different drawings.

[0033] Such as Figure 1 to Figure 7 As shown, the present invention proposes a kind of Koch snowflake type UWB antenna reverse modeling method based on IACO-BRBP neural network, mainly comprises: select sample object; The setting of basic parameter; Extract training set data; Improve ant colony algorithm; Use the improved ant colony algorithm to train the BRBP forward model, optimize the weights and thresholds and save them; keep the weights and thresholds unchanged, input the return loss in th...

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Abstract

The invention discloses a Koch snowflake ultra-wideband reverse modeling method based on an IACO-BRBP neural network, and the method mainly comprises the steps: 1, obtaining experimental data, and dividing the experimental data into a training set and a test set; 2, improving a traditional ant colony algorithm; 3, training the BRBP forward model by using the improved ant colony algorithm, and storing the optimized weight; 4, keeping the weight unchanged, and inputting an electric parameter in the established IACO-BRBP model to realize a reverse solving process; 5, calculating an evaluation function between the output parameter and the target parameter; 6, updating the input parameters by using a reverse iteration algorithm. According to the method, the IACO-BRBP neural network reverse modeling method is applied to the improved Koch snowflake-type ultra-wideband antenna, so that corresponding structural parameters can be solved according to given antenna electrical parameters; once the training of the reverse model is completed, the geometric parameters of the antenna can be quickly simulated only by inputting target electrical parameters; therefore, the design period is greatly shortened while the design requirement is basically met.

Description

technical field [0001] The invention belongs to a neural network reverse modeling research method of a radio frequency microwave device, in particular to a Koch snowflake-type ultra-wideband antenna reverse modeling method based on an IACO-BRBP neural network. Background technique [0002] In recent years, with the rapid development of wireless communication technology, the antenna plays an indispensable role. It is the core component for transmitting and receiving wireless electromagnetic waves and completing electromagnetic conversion. Among them, the UWB communication system occupies a wide range of frequency bands, covering many narrowband communication standards, such as IEEE 802.16 Worldwide Microwave Access (WIMAX, 3.3-3.7GHz), IEEE 802.11a Wireless Local Area Network (WLAN, 5.15-5.35GHz / 5.725-5.825GHz), etc. The transmission power of the UWB system is relatively low, and it is easy to form crosstalk with these narrowband communication systems. Therefore, an UWB ant...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06N3/08G06N3/00
CPCG06F30/20G06N3/084G06N3/006
Inventor 南敬昌谢欢高明明
Owner LIAONING TECHNICAL UNIVERSITY
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