Accurate and efficient computation of the periodic Green’s function in layered media using complex images technique

H. Alaian, R. Faraji-Dana
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引用次数: 1

Abstract

In this paper a new method based on the complex images concept has been presented for the first time that can efficiently approximate the periodic Greenpsilas function in layered media. This approximation leads to a closed-form representation for the Greenpsilas function that is very useful in analyzing the periodic structures such as frequency selective surfaces and meta-materials using the integral equations. Accuracy of the results obtained by the proposed method is shown by comparing with other numerical methods.
利用复杂图像技术精确高效地计算分层介质中的周期性格林函数
本文首次提出了一种基于复图像概念的新方法,可以有效地逼近层状介质中的周期Greenpsilas函数。这种近似导致Greenpsilas函数的封闭形式表示,这对于使用积分方程分析频率选择表面和超材料等周期性结构非常有用。通过与其他数值方法的比较,证明了该方法的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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