Inverse scattering of periodic surfaces with a superlens

Fuente: arXiv
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Hauptverfasser: Li, Peijun, Wang, Yuliang
Format: Preprint
Veröffentlicht: 2023
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author Li, Peijun
Wang, Yuliang
author_facet Li, Peijun
Wang, Yuliang
contents We propose a scheme for imaging periodic surfaces using a superlens. By employing an inverse scattering model and the transformed field expansion method, we derive an approximate reconstruction formula for the surface profile, assuming small amplitude. This formula suggests that unlimited resolution can be achieved for the linearized inverse problem with perfectly matched parameters. Our method requires only a single incident wave at a fixed frequency and can be efficiently implemented using fast Fourier transform. Through numerical experiments, we demonstrate that our method achieves resolution significantly surpassing the resolution limit for both smooth and non-smooth surface profiles with either perfect or marginally imperfect parameters.
format Preprint
id arxiv_https___arxiv_org_abs_2305_03086
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Inverse scattering of periodic surfaces with a superlens
Li, Peijun
Wang, Yuliang
Numerical Analysis
Analysis of PDEs
We propose a scheme for imaging periodic surfaces using a superlens. By employing an inverse scattering model and the transformed field expansion method, we derive an approximate reconstruction formula for the surface profile, assuming small amplitude. This formula suggests that unlimited resolution can be achieved for the linearized inverse problem with perfectly matched parameters. Our method requires only a single incident wave at a fixed frequency and can be efficiently implemented using fast Fourier transform. Through numerical experiments, we demonstrate that our method achieves resolution significantly surpassing the resolution limit for both smooth and non-smooth surface profiles with either perfect or marginally imperfect parameters.
title Inverse scattering of periodic surfaces with a superlens
topic Numerical Analysis
Analysis of PDEs
url https://arxiv.org/abs/2305.03086