The Iterative Multi-Scaling Approach (IMSA) is a powerful and flexible framework for the accurate, reliable, and robust solution of electromagnetic (EM) inverse problems (IPs) arising in several applicative scenarios. It relies on the adaptive refinement of the resolution within the so-called regions-of-interest (RoIs), where a discontinuity with respect to the surrounding medium has been detected. This work presents some recent advances in this field, proposing a first attempt to integrate the IMSA with a data-fusion imaging strategy. More precisely, a novel IP solution scheme is described, which combines the capabilities of the IMSA with those of a multi-physics (MP) technique jointly processing EM and acoustic (AC) data. An illustrative example is shown to preliminarily assess the effectiveness of the proposed IMSA- MP methodology in retrieving accurate guesses of multiple (i.e., EM and AC) constitutive parameters with high fidelity.
Recent Advances in IMSA for Electromagnetic Inverse Problems / Salucci, Marco; Lin, Zhichao; Li, Maokun; Massa, Andrea. - STAMPA. - (2023), pp. 1-4. ( 17th European Conference on Antennas and Propagation, EuCAP 2023 Florence, Italy 26-31 March 2023) [10.23919/eucap57121.2023.10133506].
Recent Advances in IMSA for Electromagnetic Inverse Problems
Salucci, Marco;Massa, Andrea
2023-01-01
Abstract
The Iterative Multi-Scaling Approach (IMSA) is a powerful and flexible framework for the accurate, reliable, and robust solution of electromagnetic (EM) inverse problems (IPs) arising in several applicative scenarios. It relies on the adaptive refinement of the resolution within the so-called regions-of-interest (RoIs), where a discontinuity with respect to the surrounding medium has been detected. This work presents some recent advances in this field, proposing a first attempt to integrate the IMSA with a data-fusion imaging strategy. More precisely, a novel IP solution scheme is described, which combines the capabilities of the IMSA with those of a multi-physics (MP) technique jointly processing EM and acoustic (AC) data. An illustrative example is shown to preliminarily assess the effectiveness of the proposed IMSA- MP methodology in retrieving accurate guesses of multiple (i.e., EM and AC) constitutive parameters with high fidelity.| File | Dimensione | Formato | |
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