高频RCS预估中判别阴影区域的并行算法  

PARALLELED MULTIPLE SHADOW RECOGNITION ALGORITHM FOR EVALUATION OF HIGH FREQUENCY RCS

作　　者：张月园[1] 刘志伟[2,3] 张晓燕[2,3] 刘颖婷[2] 何姗[2] 

机构地区：[1]华东交通大学国际学院,江西南昌330013 [2]华东交通大学信息工程学院,江西南昌330013 [3]毫米波国家重点实验室,江苏南京210096

出　　处：《井冈山大学学报（自然科学版）》2013年第4期41-45,共5页Journal of Jinggangshan University (Natural Science)

基　　金：国家自然科学基金项目(61261005);毫米波国家重点实验室(K201326);江西省科技厅青年基金项目(20122BAB211018);江西省教育厅青年基金项目(GJJ13321)

摘　　要：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。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.

关 键 词：电磁场 高频散射 并行遮挡判别 计算电磁学 物理光学 

分 类 号：O441.4[理学—电磁学]