ZHANG Ying, Janet M.Wang, XIAO Liang, et al. A New Stochastic Modeling and Analysis Method for Transmission Lines in the Presence of Random Process Variations[J]. Acta Electronica Sinica, 2005, 33(11): 1959-1964.
DOI:
ZHANG Ying, Janet M.Wang, XIAO Liang, et al. A New Stochastic Modeling and Analysis Method for Transmission Lines in the Presence of Random Process Variations[J]. Acta Electronica Sinica, 2005, 33(11): 1959-1964.DOI:
A New Stochastic Modeling and Analysis Method for Transmission Lines in the Presence of Random Process Variations
The random variations of technological parameters are always existent during manufacturing
which have a definite impact on transmission performance of transmission lines.Considering the impact
the stochastic model for transmission lines is proposed
and the precise integration algorithm is combined with Monte Carlo method to analyze the transient response of the stochastic model.Jarque-Bera test is made for the normality of the model's output and the worst-case estimation is given.In the case of sinusoidal excitation
lossless transmission lines are considered.The analytic form of first moment of the corresponding stochastic differential equation's solution is derived
and the numerical computation method for second moment is given
finally the upper and lower bound of the output signal's amplitude and phase shift is estimated.Experimental results demonstrate that the proposed stochastic model and the statistical analysis method can evaluate the transmission performance of transmission lines effectively.