DocumentCode
987040
Title
MUSIC Imaging and Electromagnetic Inverse Scattering of Multiple-Scattering Small Anisotropic Spheres
Author
Zhong, Yu ; Chen, Xudong
Author_Institution
Nat. Univ. of Singapore, Singapore
Volume
55
Issue
12
fYear
2007
Firstpage
3542
Lastpage
3549
Abstract
The Foldy-Lax equation is used to derive a multiple scattering model for the multiple-scattering small anisotropic spheres. By this model, if the number of the non-zero singular values of the multistatic response (MSR) matrix is smaller than the number of the antennas, the range space of the MSR matrix is found to be spanned by the background Green´s function vectors corresponding to the and components of the electric and magnetic dipoles induced in each scatterer, which indicates that the multiple signal classification (MUSIC) method could be implemented to obtain the locations of the scatterers. After estimating the positions of the scatterers, a non-iterative analytical method is proposed for retrieving the polarization strength tensors as well as the orientations of the principle axes of each scatterer. Two numerical simulations show that, the MUSIC method and the non-iterative method are efficacious for the nonlinear inverse scattering problem of determining the locations and polarization strength tensors of multiple-scattering small anisotropic spheres. Such methods could also be applied to the inversion of small isotropic spheres or extended to the inversion of small bianisotropic spheres.
Keywords
Green´s function methods; electromagnetic wave polarisation; electromagnetic wave scattering; image classification; numerical analysis; Foldy-Lax equation; Green´s function vectors; MSR; MUSIC imaging; anisotropic spheres; electromagnetic inverse scattering; multiple scattering model; multiple signal classification; multistatic response matrix; noniterative analytical method; numerical simulations; Anisotropic magnetoresistance; Antenna accessories; Dipole antennas; Electromagnetic scattering; Equations; Green´s function methods; Inverse problems; Multiple signal classification; Polarization; Tensile stress; Inverse scattering problems; linear methods; multiple scattering; small anisotropic spheres;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/TAP.2007.910488
Filename
4388141
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