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Résumé
A new efficient numerical procedure (SVD-tail) is proposed for the reconstruction of the shape and volume of unknown objects from measurements of their radiation in the far field. At variance with previously published linear-sampling methods where the solution is constructed as a regularized solution of the far-field equations using a variant of the Tikhonov-Morozov type, the new algorithm uses a new eigenspace recovery technique which exploits the combined presence of error in the operator and of eigenvalue clusters. Its performance on a battery of examples and its comparison with existing methods are shown to be promising. © 2009 IOP Publishing Ltd.
langue originale | Anglais |
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Pages (de - à) | 1-19 |
Nombre de pages | 19 |
journal | Inverse Problems |
Volume | 25 |
Numéro de publication | 9 |
Les DOIs | |
Etat de la publication | Publié - 1 janv. 2009 |
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