Multi-dimensional non-linear behavior model data testing device capable of highlighting temperature influence characteristics and establishing method of multi-dimensional non-linear behavior model data testing device

By designing a multi-dimensional nonlinear behavior model data testing device and establishing a multi-dimensional polynomial model, the problem of failure to effectively consider the characteristics of temperature influence in the prior art is solved, accurate prediction under different temperature, power and frequency conditions is achieved, and the prediction capability of the nonlinear behavior model is improved.

CN119647080APending Publication Date: 2025-03-18CNGC INST NO 206 OF CHINA ARMS IND GRP
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Patent Information

Application Number
CN202411673829.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-21
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

The prior art fails to effectively consider the temperature influence characteristics when establishing nonlinear behavior models, resulting in the inability to accurately predict the output signals of the target components under different temperature environments.

Method used

A multidimensional nonlinear behavior model data testing device is designed, including computers, vector network analyzers, amplifiers, attenuators, high and low temperature boxes and target components. By controlling temperature, power and frequency, multidimensional nonlinear characteristic data are obtained, and a multidimensional polynomial model is used for inversion, establishing a behavioral model that can predict the output signals of target components at different temperatures, power and frequency.

Benefits of technology

Accurate prediction under different temperature, power and frequency conditions is achieved, and the shortcomings of the lack of temperature-affected characteristic data can be made up for, which can effectively reduce costs and improve efficiency.

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Abstract

The invention relates to a multi-dimensional non-linear behavior model data testing device capable of highlighting temperature influence characteristics and an establishment method of the multi-dimensional non-linear behavior model data testing device. The testing device comprises a computer, a vector network analyzer, an amplifier, an attenuator, a high-low temperature box and a target assembly, the high-low temperature box is used for controlling the working temperature of the target assembly, multi-dimensional nonlinear data containing temperature influence characteristics are obtained, and the defect that data of the temperature influence characteristics are missing is overcome. The establishment method is realized by performing multi-dimensional inversion on multi-dimensional nonlinear data obtained by testing. According to the method, data test and model establishment of the complete multi-dimensional nonlinear behavior model containing the temperature influence characteristics can be realized, so that accurate prediction of the multi-dimensional nonlinear characteristic data containing the temperature influence characteristics of the target component is realized.
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