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首页> 外文期刊>IEEE Transactions on Antennas and Propagation >Numerical Analysis of Large-Scale Finite Periodic Arrays Using a Macro Block-Characteristic Basis Function Method
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Numerical Analysis of Large-Scale Finite Periodic Arrays Using a Macro Block-Characteristic Basis Function Method

机译:宏有限特征基函数法对大型有限周期阵列进行数值分析

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Numerical analysis of a large-scale finite periodic array is accurate but quite costly when the array is analyzed as a finite array. The computational cost for the numerical analysis can be reduced greatly when the array is approximated as an infinite periodic structure. However, the edge effect that strongly affects the active impedance or current distribution of the array elements near the edge is neglected. In this paper, a macro block-characteristic basis function method (MB-CBFM) for numerical analysis of a large-scale finite periodic array with a uniform amplitude and linear phased excitation is proposed. The MB-CBFM utilizes blocks and macro blocks to group the elements in order to reduce its computational cost without degrading accuracy. Numerical simulations demonstrate that the CPU time and computer memory of the MB-CBFM are when the size of array is sufficiently large.
机译:大型有限周期阵列的数值分析是准确的,但是当将其作为有限阵列进行分析时,其成本很高。当数组近似为无限周期结构时,可以大大减少数值分析的计算成本。然而,忽略了在边缘附近强烈影响阵列元件的有源阻抗或电流分布的边缘效应。本文提出了一种宏块特征基函数方法(MB-CBFM),用于数值分析具有均匀振幅和线性相位激励的大规模有限周期阵列。 MB-CBFM利用块和宏块对元素进行分组,以降低其计算成本,而不会降低精度。数值模拟表明,当阵列大小足够大时,MB-CBFM的CPU时间和计算机内存就足够了。

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