NDLI: The multi-frequency diagonalized contrast source method for electromagnetic inversion

Content Provider	IEEE Xplore Digital Library
Author	Casagranda, A. Franceschini, D. Massa, A. van den Berg, P.M. Abubakar, A. Habashy, T.M.
Copyright Year	2006
Description	Author affiliation: Dep. of Information and Communication Technologies, University of Trento, Via Sommarive 14, Povo 38050, Italy (Casagranda, A.; Franceschini, D.; Massa, A.) \|\| Faculty of Applied Science, Delft University of Technology, Lorentzweg 1, 2628 CJ, The Netherlands (van den Berg, P.M.) \|\| Schlumberger-Doll Research, 36 Old Quarry Road, Ridgefield, CT, 06877, U.S.A. (Abubakar, A.; Habashy, T.M.)
Abstract	Inverse scattering problems deal with the determination of the constitutive parameters of the unknown objects embedded in a known background medium. In this problem, the configuration is illuminated by a single frequency wave-field and the scattered field is measured in an external observation domain. The inversion of this data is well-known to be non-linear and ill-posed. Furthermore, the retrievable information is limited. In order to overcome such drawbacks, multi-frequency data can be used by exploiting the Maxwellian dispersion relationships. However, the use of the set of multi-frequency data significantly increases the computational burden of the inversion process. Recently, the so-called Diagonalized Contrast Source Inversion (DCSI) method is introduced to efficiently solve the inverse problem. In this method, instead of solving the full non-linear problem, a three-linear-step procedure is carried out to significantly reduce the overall computational time. In order to further enhance the DCSI method, in this paper it has been extended for dealing with multi-frequency data.
Starting Page	1
Ending Page	5
File Size	202324
Page Count	5
File Format	PDF
ISBN	9789290929376
DOI	10.1109/EUCAP.2006.4584917
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-06
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	ESA
Subject Keyword	non-linear inversion iterative technique Information retrieval Frequency measurement multi-frequency imaging Inverse problems Computed tomography Electromagnetic scattering Integral equations Cost function Robustness Communications technology Iterative methods
Content Type	Text
Resource Type	Article

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