The possibility of reconstructing the distribution of the dielectric characteristics of unknown inhomogeneous dielectric objects contained inside a fixed investigation volume V, where the scatterers can be placed at arbitrary positions is considered. It is assumed that the localisation of the scatterers and the determination of their surface shapes can be accomplished through the reconstruction of the equivalent current density, following a previously proposed approach. The method is based on an inverse-scattering formulation, and makes use of the moment method, together with a pseudoinversion algorithm, to face the problems associated with ill-conditioning. It can potentially be used even in the case of strong scatterers. The advantages of using suitable thresholds for the reconstruction of the equivalent current density is considered. The capabilities and limitations of the approach have been assessed by means of numerical computer simulations, for which even data strongly affected by Gaussian noise have been used

Numerical solution to three-dimensional inverse scattering for dielectric reconstruction purposes

GRAGNANI, GIAN LUIGI;PASTORINO, MATTEO
1992-01-01

Abstract

The possibility of reconstructing the distribution of the dielectric characteristics of unknown inhomogeneous dielectric objects contained inside a fixed investigation volume V, where the scatterers can be placed at arbitrary positions is considered. It is assumed that the localisation of the scatterers and the determination of their surface shapes can be accomplished through the reconstruction of the equivalent current density, following a previously proposed approach. The method is based on an inverse-scattering formulation, and makes use of the moment method, together with a pseudoinversion algorithm, to face the problems associated with ill-conditioning. It can potentially be used even in the case of strong scatterers. The advantages of using suitable thresholds for the reconstruction of the equivalent current density is considered. The capabilities and limitations of the approach have been assessed by means of numerical computer simulations, for which even data strongly affected by Gaussian noise have been used
File in questo prodotto:
Non ci sono file associati a questo prodotto.

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/11567/377754
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 14
  • ???jsp.display-item.citation.isi??? 9
social impact