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Reduced-Order Stochastic Macro-Models in FDTD, for Characterizing Uncertainty in Aperture Antennas

机译:FDTD中的下降阶随机宏型模型,用于在孔径天线中表征不确定性

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Recently, a reduced-order stochastic electromagnetic macro-model in finite-difference-time-domain (FDTD) was developed, based on stochastic collocation on the sparse Smoljak grid. Here, we apply the technique to quantify the uncertainty in electromagnetic response of an aperture antenna whose conductivity and permittivity vary randomly according to Gaussian distributions. The results are correlated against standard Monte Carlo simulations, and show excellent agreement.
机译:最近,基于稀疏Smoljak网格上的随机搭配,开发了有限差分时域(FDTD)中的减少的随机电磁宏模型。这里,我们应用该技术来量化孔径天线的电磁响应中的不确定性,其导电性和允许性根据高斯分布随机变化。结果与标准蒙特卡罗模拟相关,并表现出很好的一致性。

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