Processing the Experimental Fresnel Data by the GMMV-based Shape Reconstruction Method

Shilong Sun, Bert Jan Kooij, Alexander G. Yarovoy

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

This paper presents the application of the shape reconstruction method based on the generalized multiple measurement vectors (GMMV) model on the multi-frequency transverse magnetic (TM) and transverse electric (TE) polarized Fresnel data, measured by the Institue Fresnel (Marseille, France) from cylindrical objects. Finite difference frequency domain (FDFD) is applied to discretize the Maxwell's equations, and the contrast sources are solved iteratively by exploiting the joint sparsity as a regularized constraint. Cross validation (CV) technique is used to terminate the iterations and give the estimation of the noise level at the same time. The results show that the GMMV-based linear method successfully performs shape reconstruction of a large variety of scatterers.
Original languageEnglish
Title of host publicationProceedings of the 2017 International Conference on Electromagnetics in Advanced Applications (ICEAA '17)
Place of PublicationPiscataway, NJ
Pages746-749
Number of pages4
ISBN (Electronic)978-1-5090-4451-1
DOIs
Publication statusPublished - 2017
EventICEAA 2017: 19th International Conference on Electromagnetics in Advanced Applications - Verona, Italy
Duration: 11 Sep 201715 Sep 2017
Conference number: 19

Conference

ConferenceICEAA 2017
Abbreviated titleICEAA '17
CountryItaly
CityVerona
Period11/09/1715/09/17

Keywords

  • Shape
  • Image reconstruction
  • Dielectrics
  • Receivers
  • Permittivity
  • Reconstruction algorithms
  • Integrated circuits

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