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An application of universal polynomial chaos expansion to numerical stochastic simulations of an UWB EM wave propagation

机译:通用多项式混沌扩展对UWB EM波传播的数值随机模拟的应用

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In the paper a new form of universal polynomial chaos expansion, which was introduced in [1], is applied to numerical stochastic simulations of ultra-wideband electromagnetic wave propagation. It is assumed that stochastic parameters of a propagation scenario follow a Gauss distribution. The final coefficients of an expansion are analytical functions of a mean and a standard deviation of a stochastic variable (scenario parameter), which makes an expansion universal. The necessary initial coefficients have to be calculated numerically only once for a freely chosen values of polynomial basis parameters. Then these initial coefficients are used to calculate analytically the universal coefficients.
机译:在本文中,在[1]中引入的新形式的通用多项式混沌扩展,应用于超宽带电磁波传播的数值随机模拟。假设传播场景的随机参数遵循高斯分布。扩展的最终系数是分析功能的平均值和随机变量(场景参数)的标准偏差,这使得扩展通用。必须仅为多项式基础参数的自由所选择的值进行数字计算必要的初始系数。然后,这些初始系数用于分析地计算通用系数。

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