The reviewed record of science sign in
Pith

arxiv: 2208.10944 · v1 · pith:WHRKX5ZA · submitted 2022-08-23 · eess.SP

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

Reviewed by Pith T0 review T1 audit T2 compute T3 formal T4 kernel pith:WHRKX5ZArecord.jsonopen to challenge →

classification eess.SP
keywords electricconductorsfieldmethodpecsperfectsubspace-baseda-priori
0
0 comments X
read the original abstract

Perfect Electric Conductors (PECs) are imaged integrating the subspace-based optimizationmethod (SOM) within the iterative multi-scaling scheme (IMSA). Without a-priori information on the number or/and the locations of the scatterers and modelling their 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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.