Abstract
In this article, a hybrid method is presented to reconstruct two-dimensional shape of an inhomogeneous impedance cylinder from the noisy far field data in the case of single electromagnetic plane wave illumination. The proposed reconstruction method can also be applied for complex-shaped smooth objects having different type of boundary conditions. For the solution of the direct problem, a potential (layer) approach is chosen that leads to a boundary integral equation. Applying Nyström method to the equation, an exponential convergence is obtained. The inverse scattering problem is solved via neural network approach, which is a stable technique under considerable level of noise. The applicability and the effectiveness of the proposed method are supported by numerical examples, and the proposed approach provides reconstructions which are in good agreement with the actual shapes.
Original language | English |
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Pages (from-to) | 119-124 |
Number of pages | 6 |
Journal | Microwave and Optical Technology Letters |
Volume | 51 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2009 |
Keywords
- Integral equations
- Inverse scattering
- Neural network approach
- Shape reconstruction