High resolution electromagnetic imaging of lossy objects in the presence of noise

Author

Qin, Youming ; Ciric, Ioan R.

Author_Institution

Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada

Volume

31

Issue

3

fYear

1995

fDate

5/1/1995 12:00:00 AM

Firstpage

1936

Lastpage

1939

Abstract

A microwave imaging algorithm based on the stochastic inverse of matrices is proposed. The prior knowledge required in the algorithm is obtained by the application of the Tikhonov regularization which enables us to find a good first approximation. As a consequence, the number of iterations in the proposed algorithm is considerably reduced. Example tests for two-dimensional structures show that this algorithm provides an efficient means for reconstructing accurately lossy or lossless dielectric bodies of various contrasts even in the presence of noise in the scattered field data

Keywords

approximation theory; image reconstruction; iterative methods; matrix inversion; microwave imaging; noise; Tikhonov regularization; high resolution EM imaging; iterations; lossless dielectric bodies; lossy objects; matrices; microwave imaging algorithm; noise; scattered field data; stochastic inverse; Approximation algorithms; Dielectric losses; Electromagnetic scattering; High-resolution imaging; Image reconstruction; Image resolution; Magnetic losses; Microwave imaging; Stochastic processes; Testing;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.376419

Filename

376419