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Near-field imaging of locally perturbed periodic surfaces

Liu, Xiaoli; Zhang, Ruming 1
1 Institut für Angewandte und Numerische Mathematik (IANM), Karlsruher Institut für Technologie (KIT)

Abstract:

This paper concerns the inverse scattering problem to reconstruct a locally perturbed periodic surface. Different from scattering problems with quasiperiodic incident fields and periodic surfaces, the scattered fields are no longer quasi-periodic. Thus the classical method for quasi-periodic scattering problems no longer works. The method based on the Floquet–Bloch transform provides an efficient numerical algorithm to solve the direct scattering problem, and a possibility to reconstruct both the unknown periodic part and the unknown local perturbation from the near-field data. By transforming the original scattering problem into one defined in an infinite rectangle, the information of the surface is included in the coefficients. The numerical scheme contains two steps. The first step is to obtain an initial guess from a sampling method. The second step is to reconstruct the surface. As is proved in the paper, for some incident fields, the corresponding scattered fields carry little information of the perturbation. In this case, we use these scattered fields to reconstruct the periodic surface. Then we could apply the data that carries more information of the perturbation to reconstruct the local perturbation. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000105977
Cover der Publikation
Zugehörige Institution(en) am KIT Fakultät für Mathematik (MATH)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 11.2019
Sprache Englisch
Identifikator ISSN: 0266-5611, 1361-6420
KITopen-ID: 1000105977
Erschienen in Inverse problems
Verlag Institute of Physics Publishing Ltd (IOP Publishing Ltd)
Band 35
Heft 11
Seiten Art. Nr.: 114003
Vorab online veröffentlicht am 04.10.2019
Schlagwörter inverse scattering problem, locally perturbed periodic surface, sampling method, Newton-CG method, Floquet–Bloch transform
Nachgewiesen in Dimensions
Web of Science
Scopus
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