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An identification procedure of multi-input Wiener models for the distortion analysis of nonlinear circuits

机译:用于非线性电路失真分析的多输入维纳模型的识别程序

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摘要

In this contribution, a system identification procedure of a two-input Wiener model suitable for the analysis of the disturbance behavior of integrated nonlinear circuits is presented. The identified block model is comprised of two linear dynamic and one static nonlinear block, which are determined using an parameterized approach. In order to characterize the linear blocks, an correlation analysis using a white noise input in combination with a model reduction scheme is adopted. After having characterized the linear blocks, from the output spectrum under single tone excitation at each input a linear set of equations will be set up, whose solution gives the coefficients of the nonlinear block. By this data based black box approach, the distortion behavior of a nonlinear circuit under the influence of an interfering signal at an arbitrary input port can be determined. Such an interfering signal can be, for example, an electromagnetic interference signal which conductively couples into the port of consideration.
机译:在此贡献中,提出了适用于分析集成非线性电路的干扰行为的两输入维纳模型的系统识别过程。所识别的模块模型由两个线性动态模块和一个静态非线性模块组成,这是使用参数化方法确定的。为了表征线性块,采用了将白噪声输入与模型简化方案结合使用的相关性分析。在对线性块进行了特征化之后,从每个输入的单音激励下的输出频谱中,将建立一组线性方程组,这些方程组的解给出了非线性块的系数。通过这种基于数据的黑盒方法,可以确定非线性电路在任意输入端口受干扰信号影响下的失真行为。这种干扰信号可以是例如电磁干扰信号,该电磁干扰信号导电地耦合到所考虑的端口中。

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