RF Tomography in Free Space: Experimental Validation of the Forward Model and an Inversion Algorithm Based on the Algebraic Reconstruction Technique
Author(s) -
Vittorio Picco,
Tadahiro Negishi,
Shingo Nishikata,
Douglas Spitzer,
Danilo Erricolo
Publication year - 2013
Publication title -
international journal of antennas and propagation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.282
H-Index - 37
eISSN - 1687-5877
pISSN - 1687-5869
DOI - 10.1155/2013/528347
Subject(s) - inversion (geology) , algorithm , regularization (linguistics) , singular value decomposition , tomography , algebraic number , computer science , singular value , algebraic reconstruction technique , iterative reconstruction , mathematics , optics , mathematical analysis , physics , artificial intelligence , paleontology , eigenvalues and eigenvectors , structural basin , quantum mechanics , biology
Radio-frequency tomography was originally proposed to image underground cavities. Its flexible forward model can be used in free-space by choosing an appropriate dyadic Green's function and can be translated in the microwave domain. Experimental data are used to validate a novel inversion scheme, based on the algebraic reconstruction technique. The proposed method is improved by introducing physical bounds on the solution returned. As a result, the images of the dielectric permittivity profiles obtained are superior in quality to the ones obtained using classical regularization approaches such as the truncated singular value decomposition. The results from three experimental case studies are presented and discussed
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