We put forward an improved ray-tracing algorithm to obtain a fast prediction of the radar cross section (RCS) for electrically large complex targets using the shooting and bouncing ray (SBR) method. Our algorithm employs a rope-based kd-tree data structure together with the neighbor-facet-tree based backward ray-tracing technique. The proposed algorithm shows excellent performance in the evaluation of scattering properties of the electrically large targets at high frequency. To assess and validate the proposed method, we compute the RCS of electrically small targets and of a realistic aircraft model and compare results with those of the traditional SBR method and multilevel fast multipole method. The agreement of the results together with the runtime performance demonstrate the accuracy and efficiency of our method.

中文翻译：

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一种用于电大目标的基于SBR的EM散射计算的改进的射线追踪算法

我们提出了一种改进的射线追踪算法，可以使用射击和弹跳射线（SBR）方法快速预测大型电目标的雷达截面（RCS）。我们的算法采用了基于绳索的kd树数据结构以及基于邻面树的后向光线跟踪技术。所提出的算法在评估电大目标在高频下的散射特性方面表现出出色的性能。为了评估和验证所提出的方法，我们计算了电小目标和真实飞机模型的RCS，并将结果与​​传统SBR方法和多级快速多极方法的结果进行了比较。结果的一致性以及运行时性能证明了我们方法的准确性和效率。