| 张月园,刘志伟,张晓燕,刘颖婷,何姗.高频RCS预估中判别阴影区域的并行算法[J].井冈山大学自然版,2013,(4):41-45 |
| 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 |
| |
| DOI： |
| 中文关键词: 电磁场 高频散射 并行遮挡判别 计算电磁学 物理光学 |
| 英文关键词: electromagnetic field high frequency scattering paralleled shadow recognize computational electromagnetic physical optics |
| 基金项目:基金项目：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） |
|
| 摘要点击次数: 2433 |
| 全文下载次数: 0 |
| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
