DocumentCode
811168
Title
Equivalent current density reconstruction for microwave imaging purposes
Author
Caorsi, Salvatore ; Gragnani, Gian Luigi ; Pastorino, Matteo
Author_Institution
Dept. of Biophys. & Electron. Eng., Genova Univ., Italy
Volume
37
Issue
5
fYear
1989
fDate
5/1/1989 12:00:00 AM
Firstpage
910
Lastpage
916
Abstract
Numerical computer simulations are used to study the possibilities of reconstructing the distribution of the equivalent current density vector in a domain with a known volume, inside which dielectric scatterers stand at arbitrary locations. An integrodifferential formulation of the three-dimensional electromagnetic inverse scattering is transformed into matrix form through the application of the moment method. A pseudoinversion algorithm overcoming ill-conditioned problems is used to obtain the distribution of the equivalent current density also in the case where the input data (i.e. the simulated values of the scattered field vector to be obtained in an observation domain) are affected either by Gaussian noise or by uniformly distributed errors. The results furnish information that could be used to devise a possible imaging method for detecting the locations and surface shapes of scattering objects.<>
Keywords
current density; digital simulation; electromagnetic wave scattering; microwave imaging; picture processing; 3D EM inverse scattering; Gaussian noise; computer simulations; current density reconstruction; dielectric scatterers; electromagnetic inverse scattering; equivalent current density vector; integrodifferential formulation; matrix form; microwave imaging; moment method; pseudoinversion algorithm; scattered field vector; scattering object location detection; surface shape detection; uniformly distributed errors; Application software; Computer simulation; Current density; Dielectrics; Electromagnetic scattering; Gaussian noise; Image reconstruction; Inverse problems; Microwave imaging; Moment methods;
fLanguage
English
Journal_Title
Microwave Theory and Techniques, IEEE Transactions on
Publisher
ieee
ISSN
0018-9480
Type
jour
DOI
10.1109/22.17459
Filename
17459
Link To Document