Frequency domain analysis of new differential-mode twisted wire crosstalk model

Sun, Yaxiu; Wang, Jianli; Qian, Junzhu; Zhang, Ming

doi:10.23919/ropaces.2017.7916371

Cited by 1 publication

(2 citation statements)

References 2 publications

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“…where w is the speed of the motor. The mechanical system that represents the torque generated by the DC motor is defined by (10).…”

Section: Comparison With Spice Modelmentioning

confidence: 99%

“…Furthermore, to predict crosstalk in a circuit, an appropriate model is needed. Previous studies have accurately modelled crosstalk such as the multi-conductor transmission line (MTL) [1], [6], [7], the Spice-based SACAMOS [8], the finite-difference time-domain (FDTD) [9], and the equivalent circuit model [10], [11]. However, to obtain good accuracy, these models need detailed information of the actual circuit.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Nonlinear ARX System Identification Technique on Modeling Crosstalk

Sudrajat

Wibisono

Loschi

et al. 2022

2022 IEEE International Symposium on Electromagnetic Compatibility &Amp; Signal/Power Integrity (EMCSI)

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Estimating crosstalk appropriately is very important in the process of mitigating electromagnetic interference. This study evaluates a black-box modeling technique named nonlinear autoregressive with exogenous inputs (NARX) on crosstalk modeling application, especially crosstalk due to random pulse width modulation. The model is developed using the input and output data from the measurement as regressor inputs. For validation, the mean squared error of this model is calculated by comparing the model output with the real measurement output. For evaluation, the model performance also was compared to a Spice-based SACAMOS model. Although less flexible than the Spice model, NARX model can represent the signal on the victim cable well with a small mean squared error value.

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“…where w is the speed of the motor. The mechanical system that represents the torque generated by the DC motor is defined by (10).…”

Section: Comparison With Spice Modelmentioning

confidence: 99%