Detection of buried inhomogeneous elliptic cylinders by a memetic algorithm

被引:44
|
作者
Caorsi, S
Massa, A
Pastorino, M
Raffetto, M
Randazzo, A
机构
[1] Univ Pavia, Dept Elect, I-27100 Pavia, Italy
[2] Univ Trent, Dept Informat & Commun Technol, I-38050 Trento, Italy
[3] Univ Genoa, Dept Biophys & Elect Engn, I-16145 Genoa, Italy
关键词
electromagpetic imaging; elliptic cylinders; evolutionary algorithms;
D O I
10.1109/TAP.2003.817984
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The application of a global optimization procedure to the detection of buried inhomogeneities is studied in the present paper. The object inhomogeneities are, schematized as multilayer infinite dielectric cylinders with elliptic cross sections. An efficient recursive analytical procedure is used for the forward scattering computation. A functional is constructed in which the field is expressed in series solution of Mathieu functions. Starting by the input scattered data, the iterative minimization of the functional is performed by a new optimization method called memetic algorithm.
引用
收藏
页码:2878 / 2884
页数:7
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