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首页> 外文期刊>Journal of Research of the National Institute of Standards and Technology >Frequency-Domain Models for Nonlinear Microwave Devices Based on Large-Signal Measurements
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Frequency-Domain Models for Nonlinear Microwave Devices Based on Large-Signal Measurements

机译：基于大信号测量的非线性微波设备的频域模型

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摘要

In this paper, we introduce nonlinear large-signal scattering parameters, a new type of frequency-domain mapping that relates incident and reflected signals. We present a general form of nonlinear large-signal parameters and show that they reduce to classic S-parameters in the absence of nonlinearities. Nonlinear large-signal impedance and admittance parameters are also introduced, and equations relating the different representations are derived. We illustrate how nonlinear large-signal parameters can be used as a tool in the design process of a nonlinear circuit, specifically a single-diode 1 GHz frequency-doubter. For the case where a nonlinear model is not readily available, we developed a method of extracting nonlinear large-signal parameters obtained with artificial neural network models trained with multiple measurements made by a nonlinear vector network analyzer equipped with two sources. Finally, nonlinear large-signal parameters are compared to another form of nonlinear mapping, known as nonlinear scattering functions. The nonlinear large-signal parameters are shown to be more general.
机译：在本文中，我们介绍了非线性大信号散射参数，这是一种与入射和反射信号相关的新型频域映射。我们提出了非线性大信号参数的一般形式，并表明在没有非线性的情况下，它们可以简化为经典的S参数。还介绍了非线性大信号阻抗和导纳参数，并推导了与不同表示形式有关的方程。我们说明了非线性大信号参数如何在非线性电路（特别是单二极管1 GHz倍频器）的设计过程中用作工具。对于非线性模型不易获得的情况，我们开发了一种方法，该方法提取由人工神经网络模型获得的非线性大信号参数，该人工神经网络模型是由装备有两个信号源的非线性矢量网络分析仪进行多次测量而训练的。最后，将非线性大信号参数与另一种形式的非线性映射（称为非线性散射函数）进行比较。非线性大信号参数显示为更通用。

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