• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Electromagnetic Waves and Applications >Fast analysis for large-scale electromagnetic scattering problems by a hybrid approach
【24h】

Fast analysis for large-scale electromagnetic scattering problems by a hybrid approach

机译：通过混合方法进行大规模电磁散射问题的快速分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, a fast and accurate hybrid approach based on the multilevel characteristic basis function method (MLCBFM) is presented to analyze the electrically large scattering problems. First, a modified fast dipole method (MFDM) is proposed to improve the accuracy and efficiency of the conventional fast dipole method (FDM). Then, the MFDM is combined with the adaptive cross approximation (ACA) algorithm and the equivalent dipole method (EDM) to enhance the efficiency of the MLCBFM. In the proposed hybrid method, the use of MFDM makes the construction of secondary characteristic basis functions and reduced matrix of the MLCBFM more accurate and efficient. The impedance matrices representing the interactions of the middle-field pairs are efficiently compressed by using the ACA in order to enable the hybrid method to further reduce the time and the memory significantly when the criterion for the far-field pairs becomes stricter to obtain relatively high accurate solutions. The numerical results of one hundred PEC cubes have demonstrated that the MFDM is capable of effectively reducing the CPU time and the relative errors. Furthermore, another results have shown that the proposed hybrid method has reduced the CPU time and the memory requirement by 27 and 32%, respectively, when the same criterion for the far-field pairs are chosen.
机译：在本文中，提出了一种基于多级特征基函数方法（MLCBFM）的快速和准确的混合方法来分析电大散射问题。首先，提出了一种改进的快速偶极方法（MFDM）以提高传统快速偶极方法（FDM）的准确性和效率。然后，MFDM与自适应交叉近似（ACA）算法和等效的偶极方法（EDM）组合，以增强MLCBFM的效率。在所提出的混合方法中，MFDM的使用使得次要特征基函数的构建和MLCBFM的减少矩阵更准确和高效。表示中间场对的相互作用的阻抗矩阵通过使用ACA有效地压缩，以便在远场对的标准变得更严格的情况下进一步减少时间和存储器以进一步减少时间和记忆，以获得相对高的准确的解决方案。一百个PEC立方体的数值结果表明，MFDM能够有效地减少CPU时间和相对误差。 Furthermore, another results have shown that the proposed hybrid method has reduced the CPU time and the memory requirement by 27 and 32%, respectively, when the same criterion for the far-field pairs are chosen.

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号