In this thesis, an inverse source (IS) approach is considered for the constrained design of static-passive electromagnetic skins (SP-EMSs). By leveraging the ill-posedness/non-uniqueness of the IS problem at hand, a generalized solution framework is devised for the synthesis of SP-EMSs that simultaneously comply with (i) complex wireless coverage requirements and (ii) manufacturing and installation constraints. These two design goals can be decoupled and tackled separately through the employment of non-radiating (NR) currents. The flexibility of the IS-based formulation is demonstrated in practice with the implementation of two synthesis strategies dealing with different classes of design constraints. Representative results from a wide set of numerical experiments are reported to prove the effectiveness and the computational efficiency of the proposed method as a suitable tool for a real and effective realization of the so-called smart electromagnetic environment (SEME).

Innovative Methodologies for the Design of EM Skins

Zardi, Francesco
2023

Abstract

In this thesis, an inverse source (IS) approach is considered for the constrained design of static-passive electromagnetic skins (SP-EMSs). By leveraging the ill-posedness/non-uniqueness of the IS problem at hand, a generalized solution framework is devised for the synthesis of SP-EMSs that simultaneously comply with (i) complex wireless coverage requirements and (ii) manufacturing and installation constraints. These two design goals can be decoupled and tackled separately through the employment of non-radiating (NR) currents. The flexibility of the IS-based formulation is demonstrated in practice with the implementation of two synthesis strategies dealing with different classes of design constraints. Representative results from a wide set of numerical experiments are reported to prove the effectiveness and the computational efficiency of the proposed method as a suitable tool for a real and effective realization of the so-called smart electromagnetic environment (SEME).
20-lug-2023
Inglese
Massa, Andrea
Rocca, Paolo
Oliveri, Giacomo
Università degli studi di Trento
TRENTO
65
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/61277
Il codice NBN di questa tesi è URN:NBN:IT:UNITN-61277