On the identification of defects in a periodic waveguide from far field data
On the identification of defects in a periodic waveguide from far field data
复制标题
利用远场数据识别周期性波导中的缺陷
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
S. Fliss
中科院分区：
文献类型：
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作者：
L. Bourgeois;S. Fliss
本文的目的是应用线性采样法和因子分解法从散射数据中反演已知周期性二维波导中的某些缺陷。更准确地说，这两种采样方法的一些远场近似推导。它们相当于将所谓的传播Floquet模式视为入射波。数值实验表明，线性采样方法的远场公式的有效性。
The aim of this paper is to apply the linear sampling method and the factorization method to retrieve some defects in a known periodic 2D waveguide from scattering data. More precisely, some far field approximations of these two sampling methods are derived. They amount to considering the so-called propagating Floquet modes as incident waves. The efficiency of the far field formulation of the linear sampling method is shown with the help of some numerical experiments.