EFFECTIVE EXPLOITATION OF MULTI-VIEW DATA THROUGH THE ITERATIVE MULTI-SCALING METHOD — AN EXPERIMENTAL ASSESSMENT

Abstract—The reconstruction capabilities of a microwave imaging algorithm can be enhanced by exploiting a multi-view measurement set-up. In the past, different researches have proved that collecting scattering data by probing the unknown scenario from different incidence angles, it allows to acquire more information on the scenario under test. This paper is aimed at verifying such an assumption in a real scenario when the Iterative Multi-Scaling Approach (IMSA) is used to fully exploit multi-view data. In fact, unlike synthetic data, in a real environment more measurements introduce larger systematic errors that could affect the physical constraints used in the inversion procedure and, consequently, the reconstruction process. Thus, the analysis is carried out by considering a set of experimental data concerning different scattering configurations involving single an