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首页> 外文期刊>IEEE Transactions on Antennas and Propagation >Deterministic Reduced-Order Macromodels for Computing the Broadband Radiation-Field Pattern of Antenna Arrays in FDTD
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Deterministic Reduced-Order Macromodels for Computing the Broadband Radiation-Field Pattern of Antenna Arrays in FDTD

机译:确定性降阶宏模型,用于计算FDTD中天线阵列的宽带辐射场方向图

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The enhanced nodal-order reduction (ENOR) technique is used to perform model-order reduction (MOR) on a macromodel of a subgridded finite-difference time domain (FDTD) region which contains the deterministic fine structural features [1] of an aperture antenna array laying in a larger and relatively coarser FDTD grid, to solve the broadband time-varying electromagnetic fields emanating from the antenna array and to obtain the far-field radiation patterns. The far-field radiation pattern computed in FDTD is correlated against results computed through physical optics approximation. This work lays the foundation for a separate but related work to follow, in which we further develop the above deterministic macromodel into a stochastic macromodel that addresses the problem of uncertainty in fine features of structures with disparate spatial scales.
机译:增强的节点阶数缩减(ENOR)技术用于对亚栅格化的有限差分时域(FDTD)区域的宏模型执行模型阶数缩减(MOR),该模型包含孔径天线的确定性精细结构特征[1]阵列放置在较大且相对较粗的FDTD网格中,以解决天线阵列发出的宽带时变电磁场并获得远场辐射方向图。 FDTD中计算出的远场辐射方向图与通过物理光学近似计算出的结果相关。这项工作为后续单独但相关的工作奠定了基础,在该工作中,我们将上述确定性宏模型进一步发展为一个随机宏模型,该宏模型解决了空间尺度不同的结构的精细特征的不确定性问题。

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