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Method and device for predicting antenna frequency and electronic equipment

An antenna and frequency technology, applied in the field of antenna frequency prediction, can solve the problem of high calculation cost and achieve the effect of reducing calculation cost

Pending Publication Date: 2022-07-22
CHINA TELECOM CORP LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The embodiment of the present application provides a method, device and electronic equipment for predicting the antenna frequency, so as to at least solve the technical problem in the prior art that the selection of high-precision discrete data sets to improve the prediction accuracy of the model leads to high calculation costs

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  • Method and device for predicting antenna frequency and electronic equipment
  • Method and device for predicting antenna frequency and electronic equipment
  • Method and device for predicting antenna frequency and electronic equipment

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Embodiment Construction

[0038]In order to make those skilled in the art better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only The embodiments are part of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the scope of protection of the present application.

[0039] It should be noted that the terms "first", "second", etc. in the description and claims of the present application and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that data so used may be interchanged under a...

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Abstract

The invention discloses a method and device for predicting antenna frequency and electronic equipment. The method comprises the steps that a first resonant frequency value is obtained, the first resonant frequency value is obtained through a first model, and the first model is obtained by iterating an antenna for a first preset number of times under preset precision; a second resonant frequency value is obtained, the second resonant frequency value is obtained through a second model, and the second model is obtained by iterating the antenna for a second preset number of times under the preset precision; determining a mapping relation between the first model and the second model at least according to the first resonant frequency value and the second resonant frequency value; and generating a prediction model according to the mapping relation, and predicting the target resonant frequency value of the antenna through the prediction model. The technical problem that the calculation cost is too high due to the fact that a high-precision discrete data set is selected to improve the prediction precision of the model in the prior art is solved.

Description

technical field [0001] The present application relates to the field of antenna technology, and in particular, to a method, an apparatus, and an electronic device for predicting an antenna frequency. Background technique [0002] In recent years, methods such as artificial neural network (ANN), support vector machine (SVM), and Gaussian process (GP) have been widely used in the analysis of antenna problems. However, the structure of ANN is relatively complex, requires a large amount of electromagnetic simulation data, and is prone to problems such as difficulty in determining the network structure and poor generalization ability. shortcoming. Compared with SVM and ANN, GP is easier to implement, and its hyperparameters can be adaptively acquired, and the predicted output value also has probabilistic significance. However, the biggest limitation of Gaussian process modeling is that its training data often uses high-precision discrete data sets to ensure that the model has su...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20
CPCG06F30/20
Inventor 夏俊许永秀徐为
Owner CHINA TELECOM CORP LTD