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首页> 外文期刊>Applied Computational Electromagnetics Society journal >EMC Simulation Based on FDTD Analysis Considering Uncertain Inputs with Arbitrary Probability Density
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EMC Simulation Based on FDTD Analysis Considering Uncertain Inputs with Arbitrary Probability Density

机译：基于FDTD分析的EMC仿真考虑任意概率密度的不确定输入

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摘要

Stochastic Galerkin Method, a prevailing uncertainty analysis method, has been successfully used in today's EMC simulation, in order to consider non-ideality and unpredictability in actual circumstance. In this case, the inputs of the simulation are no longer certain values, but random variables with corresponding probability density distribution. This paper focuses on the arbitrary probability density cases at inputs. Two constructing orthogonal basis methods, the Wiener Haar expansion and the Stieltjes procedure, are generalized into the Stochastic Galerkin Method which is combined with the Finite Difference Time Domain analysis. With the help of the Feature Selective Validation, the quantitative precision comparison of the proposed methods in different cases (the probability density function is continuous or discontinuous) can be presented in detail.
机译：随机Galerkin方法，普遍的不确定性分析方法，已成功用于当今EMC模拟，以考虑在实际情况下的非理想性和不可预测性。在这种情况下，模拟的输入不再是某些值，而是具有相应概率密度分布的随机变量。本文侧重于输入的任意概率密度案例。两种构造正交基础方法，维也纳哈尔膨胀和斯蒂埃特省程序，广泛地纳入随机加仑的方法，该方法与有限差分时域分析相结合。在特征选择性验证的帮助下，可以详细介绍不同情况下所提出的方法的定量精度比较（概率密度函数是连续的或不连续的）。

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