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High-frequency RCS of complex radar targets in real time

机译:复杂雷达目标的高频RCs实时

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摘要

This paper presents a new and original approach for computing the high-frequency radar cross section (RCS) of complex radar targets in real time with a 3-D graphics workstation. The aircraft is modeled with I-DEAS solid modeling software using a parametric surface approach. High-frequency RCS is obtained through physical optics (PO), method of equivalent currents (MEC), physical theory of diffraction (PTD), and impedance boundary condition (IBC). This method is based on a new and original implementation of high-frequency techniques which the authors have called graphical electromagnetic computing (GRECO). A graphical processing approach of an image of the target at the workstation screen is used to identify the surfaces of the target visible from the radar viewpoint and obtain the unit normal at each point. High-frequency approximations to RCS prediction are then easily computed from the knowledge of the unit normal at the illuminated surfaces of the target. The image of the target at the workstation screen (to be processed by GRECO) can be potentially obtained in real time from the I-DEAS geometric model using the 3-D graphics hardware accelerator of the workstation. Therefore, CPU time for RCS prediction is spent only on the electromagnetic part of the computation, while the more time-consuming geometric model manipulations are left to the graphics hardware. This hybrid graphic-electromagnetic computing (GRECO) results in real-time RCS prediction for complex radar targets.
机译:本文提出了一种新的原始方法,可使用3-D图形工作站实时计算复杂雷达目标的高频雷达横截面(RCS)。使用参数化曲面方法,使用I-DEAS实体建模软件对飞机进行建模。高频RCS是通过物理光学(PO),等效电流方法(MEC),物理衍射理论(PTD)和阻抗边界条件(IBC)获得的。该方法基于高频技术的一种新的原始实现方式,作者将其称为图形电磁计算(GRECO)。工作站屏幕上目标图像的图形处理方法用于识别从雷达视点可见的目标表面,并获得每个点的法线。然后,根据目标物被照面上的法线单位,可以很容易地计算出RCS预测的高频近似值。使用工作站的3-D图形硬件加速器,可以从I-DEAS几何模型实时获取工作站屏幕上的目标图像(由GRECO处理)。因此,用于RCS预测的CPU时间仅花费在计算的电磁部分,而更耗时的几何模型操作留给图形硬件。这种混合图形电磁计算(GRECO)可以对复杂的雷达目标进行实时RCS预测。

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