DocumentCode
44290
Title
Shape Reconstruction of Mixed Boundary Objects by Linear Sampling Method
Author
Erramshetty, Mallikarjun ; Bhattacharya, Amitabha
Author_Institution
Dept. of Electron. & Electr. Commun. Eng., Indian Inst. of Technol. Kharagpur, Kharagpur, India
Volume
63
Issue
7
fYear
2015
fDate
Jul-15
Firstpage
3077
Lastpage
3086
Abstract
Geometric reconstruction of dielectric objects in the presence of a perfect electric conducting (PEC) object is investigated with the application of linear sampling method (LSM). The scattered fields from the cylindrical objects of circular cross sections are represented as a multipole expansion, and a numerical analysis is carried out to explore the behavior and limitations of LSM. By considering various numerical examples, the imaging capabilities of LSM for mixed cases (both dielectric and PEC objects) are studied in terms of frequency of operation and permittivity of dielectric objects. To overcome the drawbacks of standard LSM indicator, a modified LSM indicator based on a multifrequency approach is introduced. Apart from the synthetic data, the analysis is also validated by the experimental data provided by the Fresnel Institute.
Keywords
electromagnetic wave scattering; image reconstruction; image sampling; numerical analysis; permittivity; LSM; PEC; circular cross sections; cylindrical objects; dielectric object geometric reconstruction; dielectric object permittivity; linear sampling method; mixed boundary objects; modified LSM indicator; multifrequency approach; multipole expansion; numerical analysis; perfect electric conducting object; shape reconstruction; synthetic data; Current density; Dielectrics; Eigenvalues and eigenfunctions; Image reconstruction; Permittivity; Sampling methods; Standards; Linear Sampling Method (LSM); Linear sampling method (LSM); mixed boundary problem; multipole expansion; reconstruction;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/TAP.2015.2426679
Filename
7095542
Link To Document