Perfect electric conductors (PECs) are reconstructed integrating the subspace-based optimization method (SOM) within the iterative multiscaling approach (IMSA). Without a priori information on the number or/and the locations of the scatterers and modeling their electromagnetic (EM) scattering interactions with a (known) probing source in terms of surface electric field integral equations, a segment-based representation of PECs is retrieved from the scattered field samples. The proposed IMSA-SOM inversion method is validated against both synthetic and experimental data by assessing the reconstruction accuracy, the robustness to the noise, and the computational efficiency with some comparisons, as well.

Multiresolution Subspace-Based Optimization Method for the Retrieval of 2-D Perfect Electric Conductors / Ye, X.; Zardi, F.; Salucci, M.; Massa, A.. - In: IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES. - ISSN 0018-9480. - STAMPA. - 2022:(2022), pp. 1-13. [10.1109/TMTT.2022.3220252]

Multiresolution Subspace-Based Optimization Method for the Retrieval of 2-D Perfect Electric Conductors

Zardi F.;Salucci M.;Massa A.
2022-01-01

Abstract

Perfect electric conductors (PECs) are reconstructed integrating the subspace-based optimization method (SOM) within the iterative multiscaling approach (IMSA). Without a priori information on the number or/and the locations of the scatterers and modeling their electromagnetic (EM) scattering interactions with a (known) probing source in terms of surface electric field integral equations, a segment-based representation of PECs is retrieved from the scattered field samples. The proposed IMSA-SOM inversion method is validated against both synthetic and experimental data by assessing the reconstruction accuracy, the robustness to the noise, and the computational efficiency with some comparisons, as well.
2022
Ye, X.; Zardi, F.; Salucci, M.; Massa, A.
Multiresolution Subspace-Based Optimization Method for the Retrieval of 2-D Perfect Electric Conductors / Ye, X.; Zardi, F.; Salucci, M.; Massa, A.. - In: IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES. - ISSN 0018-9480. - STAMPA. - 2022:(2022), pp. 1-13. [10.1109/TMTT.2022.3220252]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/370674
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