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BRANČÍK, L. KOLÁŘOVÁ, E.
Original Title
Multiconductor Transmission Line Models Excited from Multiple Stochastic Sources
Type
conference paper
Language
English
Original Abstract
The paper deals with a technique for simulation of statistical characteristics of random responses in multiconductor transmission line (MTL) models excited from multiple stochastic sources. The method follows the theory of stochastic differential equations (SDE), specially a vector linear SDE with additive noise is developed for the solution. The MTLs model is prepared for testing number of situations at stochastic and/or deterministic excitations in its arbitrary nodes. In such a way one can cover effects of possible stochastic disturbances along the MTL wires. The MTL model is formed by generalized PI networks in cascade, while the state-variable method is used to derive its mathematical description. The excitations are permitted through generalized Thévenin equivalents of external circuits. To get the characteristics of the stochastic responses, a set of trajectories is statistically processed, while a weak stochastic backward Euler scheme, consistent with the Itô stochastic calculus, is applied.
Keywords
Multiconductor transmission line; simulation; state variable; stochastic differential equation; stochastic source
Authors
BRANČÍK, L.; KOLÁŘOVÁ, E.
RIV year
2014
Released
9. 7. 2015
Publisher
Vysové učení technické v Brně
Location
Berlín, Německo
ISBN
978-80-214-4983-1
Book
2014 37th International Conference on Telecommunications and Signal Processing
Pages from
672
Pages to
676
Pages count
5
URL
https://ieeexplore.ieee.org/document/7296348
BibTex
@inproceedings{BUT108331, author="Lubomír {Brančík} and Edita {Kolářová}", title="Multiconductor Transmission Line Models Excited from Multiple Stochastic Sources", booktitle="2014 37th International Conference on Telecommunications and Signal Processing", year="2015", pages="672--676", publisher="Vysové učení technické v Brně", address="Berlín, Německo", doi="10.1109/TSP.2015.7296348", isbn="978-80-214-4983-1", url="https://ieeexplore.ieee.org/document/7296348" }