Publication

Stable Simulation of Nonlinearly Loaded Lossy Transmission Lines with Time Marching Approach

Farhad Rachidi-Haeri, Akiyoshi Tatematsu
2016
Conference Papers

Abstract

A stable method for the analysis of lossy transmission lines with nonlinear loads is presented. The simulation employs the time marching (TM) method for solving the convolution equations in the time domain. To cope with the late-time instability of the TM method, a novel approach based on the application of Z-transform analysis and cepstrum is presented. The efficiency of the proposed method is demonstrated by comparing its results with simulations obtained using (i) a full-wave FDTD approach, and (ii) CST Cable Studio.

Official source

https://infoscience.epfl.ch/entities/publication/aa156d62-51b1-45ab-9894-b409aa27df38

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Farhad Rachidi-Haeri, Akiyoshi Tatematsu
2016
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/aa156d62-51b1-45ab-9894-b409aa27df38

About this result

Related concepts (30)

Fourier transform

In physics and mathematics, the Fourier transform (FT) is a transform that converts a function into a form that describes the frequencies present in the original function. The output of the transform is a complex-valued function of frequency. The term Fourier transform refers to both this complex-valued function and the mathematical operation. When a distinction needs to be made the Fourier transform is sometimes called the frequency domain representation of the original function.

Multidimensional transform

In mathematical analysis and applications, multidimensional transforms are used to analyze the frequency content of signals in a domain of two or more dimensions. One of the more popular multidimensional transforms is the Fourier transform, which converts a signal from a time/space domain representation to a frequency domain representation. The discrete-domain multidimensional Fourier transform (FT) can be computed as follows: where F stands for the multidimensional Fourier transform, m stands for multidimensional dimension.

Discrete-time Fourier transform

In mathematics, the discrete-time Fourier transform (DTFT), also called the finite Fourier transform, is a form of Fourier analysis that is applicable to a sequence of values. The DTFT is often used to analyze samples of a continuous function. The term discrete-time refers to the fact that the transform operates on discrete data, often samples whose interval has units of time. From uniformly spaced samples it produces a function of frequency that is a periodic summation of the continuous Fourier transform of the original continuous function.

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