In the present work we have presented a reliable and efficient algorithm for the data inversion, which is based on a fully nonlinear data model in conjunction with an optimization technique. The reconstruction of the permittivity range profile has been tested both on synthetic and real data to validate the electromagnetic code as well as to assess the accuracy and efficiency of the reconstruction procedure. We have studied the resolution of the algorithm and its robustness to the noise, demonstrating the ability of our procedure to be able to recognize the presence of high discontinuities even independently from the discretization fixed by the user. As a part of the ongoing improvement of the presented method, we have addressed the implementation of a new optimization algorithm, namely the particle swarm optimization, which has been customized and enhanced for our purposes. Finally, a detailed description of a fast and efficient procedure to evaluate the green’s function for a multilayered medium has been given. This is the groundwork useful for the next step toward a more reliable and versatile forward solver to be implemented in the inversion procedure.

Inverse scattering procedures for the reconstruction of one-dimensional permittivity range profile

Genovesi, Simone
2007

Abstract

In the present work we have presented a reliable and efficient algorithm for the data inversion, which is based on a fully nonlinear data model in conjunction with an optimization technique. The reconstruction of the permittivity range profile has been tested both on synthetic and real data to validate the electromagnetic code as well as to assess the accuracy and efficiency of the reconstruction procedure. We have studied the resolution of the algorithm and its robustness to the noise, demonstrating the ability of our procedure to be able to recognize the presence of high discontinuities even independently from the discretization fixed by the user. As a part of the ongoing improvement of the presented method, we have addressed the implementation of a new optimization algorithm, namely the particle swarm optimization, which has been customized and enhanced for our purposes. Finally, a detailed description of a fast and efficient procedure to evaluate the green’s function for a multilayered medium has been given. This is the groundwork useful for the next step toward a more reliable and versatile forward solver to be implemented in the inversion procedure.
27-ago-2007
Italiano
edge-preserving regularization
evolutionary algorithms
range profile reconstruction
___ microwave tomography
Mittra, Raj
Salerno, Emanuele
Monorchio, Agostino
Manara, Giuliano
File in questo prodotto:
File Dimensione Formato  
Simone_PhD_Thesis_final.pdf

embargo fino al 25/05/2047

Tipologia: Altro materiale allegato
Licenza: Tutti i diritti riservati
Dimensione 1.77 MB
Formato Adobe PDF
1.77 MB Adobe PDF
Copertina.pdf

accesso aperto

Licenza: Tutti i diritti riservati
Dimensione 10.43 kB
Formato Adobe PDF
10.43 kB Adobe PDF Visualizza/Apri

I documenti in UNITESI 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/20.500.14242/138491
Il codice NBN di questa tesi è URN:NBN:IT:UNIPI-138491