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A Two-Level CBFs Method Accelerated with FMM-FFT for Large Scale Periodic Arrays Modelling

机译:用于大规模周期阵列建模的FMM-FFT加速了两级CBFS方法

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To realize efficient analysis of large scale planar periodic arrays, a two-level characteristic basis functions method accelerated with fast multipole method -fast Fourier transform is developed in this paper. The characteristic basis functions for each element are constructed in a two-level framework, based on the construction combination of plane wave derivation for single element and local interaction for arrays. The number of unknowns is reduced significantly by the two-level characteristic basis functions. Further, fast multipole method-fast Fourier transform is applied to expedite the computation of interaction between elements. Numerical results for large scale planar periodic arrays are given to demonstrate the validity and efficiency of the present method.
机译:为了实现大规模平面周期阵列的有效分析,本文开发了一种用快速多极方法加速的两级特征基函数方法 - 快速傅里叶变换。每个元件的特征基函数基于单个元素的平面波导出的施工组合和阵列的局部相互作用的构造组合。通过两级特征基函数显着减少未知数。此外,应用快速多极方法 - 快速傅里叶变换以加快元件之间的交互计算。给出了大规模平面周期阵列的数值结果,以证明本方法的有效性和效率。

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