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Improving the convergence of double series summation encountered in the analysis of curved frequency selective surfaces

机译:改善弯曲频率选择面分析中遇到的双级数求和的收敛性

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Doubly curved frequency selective surfaces (FSS) represent a very difficult analysis problem due to the curvature itself and a large number of elements constituting the array. The analysis approach used here is based on the previously developed spectral domain - Method of Moments (MoM) algorithm which utilizes the Vilenkin's addition theorem to enlarge the accuracy of the program and to decrease the needed computer time. However, for the efficient analysis of FSS further acceleration is required, and therefore here we concentrate on the acceleration of the double series summation encountered in the MoM analysis. Using Wynn's series acceleration algorithm and applying it only to the extremes of the partial sums a significant calculation time and memory reductions are obtained. Furthermore, additional savings are gained by maximizing the precalculation steps in the program. The results of these techniques are demonstrated for a case of a circular-ring based spherical FSS and they show excellent agreement with the rigorous analysis approach.
机译:由于曲率本身和构成阵列的大量元素,双曲面频率选择表面(FSS)代表了一个非常困难的分析问题。此处使用的分析方法基于以前开发的光谱域-矩量法(MoM)算法,该算法利用维伦金的加法定理来扩大程序的准确性并减少所需的计算机时间。但是,为了有效地分析FSS,还需要进一步的加速,因此在这里,我们集中讨论MoM分析中遇到的双序列求和的加速。使用Wynn的级数加速算法并将其仅应用于部分和的极值,可以节省大量计算时间并减少内存。此外,通过最大化程序中的预计算步骤,还可以节省更多成本。这些技术的结果在基于圆环的球形FSS的情况下得到了证明,并且与严格的分析方法非常吻合。

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