Machine Learning for 2-D Scattering Analysis using Method of Moments

D. Olćan, J. Petrovic, B. Kolundžija
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引用次数: 2

Abstract

Machine learning is used to determine the polynomial regression of the coefficients of surface currents approximation for a curvilinear 2-D scatterer. The training data are obtained using method of moments with higher order basis functions and Galerkin testing procedure. The effect of polynomial regression order to the accuracy of calcualted radar cross-section is explored.
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基于矩量法的机器学习二维散射分析
利用机器学习确定了曲线二维散射体表面电流近似系数的多项式回归。利用高阶基函数矩量法和伽辽金检验程序获得训练数据。探讨了多项式回归阶对雷达截面计算精度的影响。
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