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Graphical Electromagnetic Computing for RCS of Large and Complex Object

机译:大型复杂对象RCS的图形电磁计算

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In the national defense, it is very important to predict radar cross section (RCS) of large and complex radar targets in real-time. This paper presents a method of computing the RCS of complex targets and producing 1D high resolution image or 2D high resolution image in real-time in two forms. The method is based on high-frequency scattering theory and a 3D graphics computer, which we called “Graphical Electromagnetic Computing” (GRECO). First, a graphical-processing approach to an image of the targets on the computer screen is used to identify the surface and unit normal. Second, the high-frequency approximations to RCS prediction are used. According to different cases Physical Optics (PO) or Method of equivalent Currents (MEC) is used. Third, the CPU time for the RCS prediction is spent only on the electromagnetic part of the computation, so the RCS prediction results are in real-time. And it could display the results in the form of 2-D contour and 3-D views. Finally, the results show that the method is valid.
机译:在国防领域,实时预测大型和复杂雷达目标的雷达横截面(RCS)非常重要。本文提出了一种计算复杂目标的RCS并以两种形式实时生成一维高分辨率图像或二维高分辨率图像的方法。该方法基于高频散射理论和3D图形计算机,我们称为“图形电磁计算”(GRECO)。首先,使用图形处理方法对计算机屏幕上的目标图像进行识别,以识别表面和单位法线。第二,使用RCS预测的高频近似。根据不同的情况,使用物理光学(PO)或等效电流方法(MEC)。第三,用于RCS预测的CPU时间仅花费在计算的电磁部分,因此RCS预测结果是实时的。它可以以2D轮廓和3D视图的形式显示结果。最后,结果表明该方法是有效的。

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