| In this paper, the generally statistical method - Monte Carlo Method is used togenerate the sea rough surface, the bistatic RCS for the sea surface is calculated usingthe MOMI (Method of Ordered Multiple Interactions), and the influence of theparameters such as the speed of wind and the incidence angle to the bistatic RCS areanalyzed. Modeling for the scattering field of the sea surface is implemented with theRBF neural network. The composite scattering from two-dimensional infinitely longconducting target with arbitrary cross section above Gaussian rough surface andone-dimensional sea surface with PM spectrum are calculated using the hybrid methodcombining MOM with Kirchhoff Approximation (KA). The electromagnetic scatteringfrom three-dimensional plate target above sea surface is investigated by employing thehybrid method combining the reciprocity theorem and MOMI method. The RBF neuralnetwork is trained for the modeling of composite electromagnetic scattering and thecomposite scattering field under different sea/target parameters such as the wind speed,the incidence angle, the incident frequency and the height and size of the target isestimated. The error between the network consequence and the target data is in asatisfied range. |
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