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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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