Title :
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
fDate :
5/1/1995 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
