CAJ | 학술논문

利用物理光学方法预估高频雷达散射截面(RCS)时，需要判别目标表面的阴影区域。本文提出了一种基于树型结构的多重阴影判别算法，将判断面元是否被面元遮挡转变为判断面元是否被分组遮挡，极大地降低了计算复杂度。与此同时，引入并行技术，将基于树型结构的多重阴影遮挡算法并行化，进一步节省计算时间。数值算例表明，基于树型结构的多重阴影判别算法与传统的阴影判别方法相比，在保证计算精度一致的前提下，计算效率更加高效。
이용물리광학방법예고고빈뢰체산사절면(RCS)시，수요판별목표표면적음영구역。본문제출료일충기우수형결구적다중음영판별산법，장판단면원시부피면원차당전변위판단면원시부피분조차당，겁대지강저료계산복잡도。여차동시，인입병행기술，장기우수형결구적다중음영차당산법병행화，진일보절성계산시간。수치산례표명，기우수형결구적다중음영판별산법여전통적음영판별방법상비，재보증계산정도일치적전제하，계산효솔경가고효。
Using physical optics method to evaluate high frequency radar cross section (RCS), the shadow recognition is required and time consuming. A tree structure based method is proposed for multiple shadow recognition. Judging whether a facet is obstructed by another facet is replaced by judging whether a facet is obstructed by another sub-group. The computational complexity is able to be reduced greatly by this method. Furthermore, the parallel technique is introduced. The computation time can be saved by the paralleled tree-base multiple shadow recognition algorithms. Numerical results demonstrate that the proposed method is more efficient than traditional method.