Afrl-rx-wp-tp-2012-0397 Inverse Problem for Electromagnetic Propagation in a Dielectric Medium Using Markov Chain Monte Carlo Method (preprint)
نویسندگان
چکیده
This paper is concerned with a stochastic inverse methodology arising in electromagnetic imaging. Nondestructive testing using guided microwaves covers a wide range of industrial applications including early detection of anomalies in conducting materials. The focus of this paper is the identification of electromagnetic material parameters and emphasis is on one dimensional scattering of a dielectric slab. The direct problem can be solved numerically using the finite-difference time-domain method (FDTD). The Markov Chain Monte Carlo method (MCMC) is applied to the inversion problem. Some successful results of computational experiments are demonstrated in order to show the feasibility and applicability of the proposed method.
منابع مشابه
Microwave Imaging : Characterization of Unknown Dielectric or Conductive Materials
Microwave imaging problem consists of reconstructing unknown objects from measurements of the scattered field that results from their interaction with a known interrogating wave. This problem is nonlinear and ill-posed. The most classical methods to solve this inverse problem are based on the linearization of the model (by using Born or Rytov approximation) or work directly on the nonlinear map...
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