A neural-based electromagnetic inverse scattering approach to the detection of a conducting cylinder coated with a dielectric material

Authors : Senem MAKAL, Ahmet KIZILAY

Pages : 1249-1258

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Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :In this study, a radial basis function neural network approach is applied for the estimation of the localization and the radius of a conducting cylinder with a circular cross-section coated with a dielectric material. A set of features, the radar cross-section insert ignore into journalissuearticles values(RCS); values, are derived from scattered fields, which are calculated using the surface equivalence principle and the method of moment. RCS values are obtained using 10 different scattering angles that are fed into the network. The outputs of the network are the location insert ignore into journalissuearticles values(x0, y0); and the radius insert ignore into journalissuearticles values(rp); of the conducting cylinder. This is an application of the electromagnetic inverse scattering of the objects embedded in a material based on the use of a neural network.
Keywords : Electromagnetic scattering, the method of moment, neural network, inverse scattering