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 language | English |
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Title of host publication | Proceedings of the 2017 International Conference on Electromagnetics in Advanced Applications (ICEAA '17) |
Place of Publication | Piscataway, NJ |
Pages | 746-749 |
Number of pages | 4 |
ISBN (Electronic) | 978-1-5090-4451-1 |
DOIs | |
Publication status | Published - 2017 |
Event | ICEAA 2017: 19th International Conference on Electromagnetics in Advanced Applications - Verona, Italy Duration: 11 Sept 2017 → 15 Sept 2017 Conference number: 19 |
Conference
Conference | ICEAA 2017 |
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Abbreviated title | ICEAA '17 |
Country/Territory | Italy |
City | Verona |
Period | 11/09/17 → 15/09/17 |
Keywords
- Shape
- Image reconstruction
- Dielectrics
- Receivers
- Permittivity
- Reconstruction algorithms
- Integrated circuits