Characterization of cloaking, realized by conformal dielectric coatings on a fixed core cylinder and carried out through an Inverse Scattering Problem (ISP), is presented as the minimization process of a proper cost functional. In order to overcome the overall non-linearity issue of the inverse problem related to the data equation, the idea presented in this paper is to exploit the bilinear form of the ISP in two successive steps. The increase in the computational cost is compensated by an hybrid scheme with local search (i.e., CG-FFT) for finding the auxiliary variable (e.g., total field) and with global optimization algorithms (i.e., GA, SGA, BBO and PSO) for the main unknown of the inverse scattering problem (i.e., complex permittivity).

Population-based algorithms applied to Inverse Scattering Problem for dielectric coatings / Labate, Giuseppe; Pirinoli, Paola; Matekovits, Ladislau. - CD-ROM. - (2015), pp. 1064-1067. (Intervento presentato al convegno 2015 International Conference on Electromagnetics in Advanced Applications (ICEAA) tenutosi a Torino (Italy) nel 7-11 Sept. 2015) [10.1109/ICEAA.2015.7297278].

Population-based algorithms applied to Inverse Scattering Problem for dielectric coatings

LABATE, GIUSEPPE;PIRINOLI, Paola;MATEKOVITS, Ladislau
2015

Abstract

Characterization of cloaking, realized by conformal dielectric coatings on a fixed core cylinder and carried out through an Inverse Scattering Problem (ISP), is presented as the minimization process of a proper cost functional. In order to overcome the overall non-linearity issue of the inverse problem related to the data equation, the idea presented in this paper is to exploit the bilinear form of the ISP in two successive steps. The increase in the computational cost is compensated by an hybrid scheme with local search (i.e., CG-FFT) for finding the auxiliary variable (e.g., total field) and with global optimization algorithms (i.e., GA, SGA, BBO and PSO) for the main unknown of the inverse scattering problem (i.e., complex permittivity).
2015
978-1-4799-7806-9
978-1-4799-7806-9
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2622416
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo