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Visual Computing of Complicated Target with Radar Absorbing Material

机译:具有雷达吸收材料的复杂目标的可视化计算

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摘要

Radar-absorbing materials (RAM), which effectively reduce the radar cross section of targets, are extensively used in stealth optimization of targets. Graphic electromagnetic computing (GRECO) uses graphic acceleration cards and Z-Buffer techniques to address blanking and non-visibility issues in traditional electronic magnetic algorithms. The traditional GRECO is improved to overcome its inability to precisely extract geometric information on visible surfaces and the dependence of calculation accuracy on screen resolution. An algorithm that can calculate the multiple scattering of metal dihedral-coated RAM is proposed. In addition, the element search method used in traditional dihedral calculation is improved, and calculation time is reduced by a significant margin. After the experimental results were compared, the accuracy of the algorithm is examined. The proposed algorithm, combined with the improved GRECO, can used to analyze the stealth performance of complicated targets coated single- or multilayered RAM.
机译:有效减少目标的雷达横截面的雷达吸收材料(RAM)被广泛用于目标的隐身优化。图形电磁计算(GRECO)使用图形加速卡和Z-Buffer技术来解决传统电磁算法中的空白和非可见性问题。对传统GRECO进行了改进,以克服其无法精确提取可见表面上的几何信息以及计算精度对屏幕分辨率的依赖性的问题。提出了一种可以计算金属二面涂层RAM的多重散射的算法。另外,改进了传统二面角计算中使用的元素搜索方法,并显着减少了计算时间。比较实验结果后,检验了算法的准确性。该算法与改进的GRECO相结合,可用于分析复杂目标涂层单层或多层RAM的隐身性能。

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