...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Microwaves, Antennas & Propagation, IET >Direct solution of electromagnetic scattering from perfect electric conducting targets using multilevel characteristic basis function method with adaptive cross approximation algorithm
【24h】

Direct solution of electromagnetic scattering from perfect electric conducting targets using multilevel characteristic basis function method with adaptive cross approximation algorithm

机译：使用自适应交叉逼近算法的多级特征基函数方法直接求解完美导电目标的电磁散射

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

The adaptive cross approximation (ACA) enhanced multilevel characteristic basis function method (MLCBFM) is studied in this article. It is well known that the impedance submatrices containing the reaction terms of low-level basis functions such as Rao??Wilton??Glisson basis functions have low-rank property. However, the authors find that the high-level impedance matrices between nonoverlapping high-level blocks are also low rank and can be compressed efficiently. This property is used to efficiently calculate the high-level reduced matrix of the MLCBFM through the ACA algorithm in this study. Furthermore an efficient scheme for the high-level characteristic basis functions (CBFs) generation is given, which reduces the redundant operations in the high-level CBFs generation step without loss of accuracy. Numerical results are given to demonstrate the accuracy and efficiency of the presented method.
机译：本文研究了自适应交叉逼近（ACA）增强的多级特征基函数方法（MLCBFM）。众所周知，包含诸如Rao ?? Wilton ?? Glisson基函数之类的低级基函数的反应项的阻抗子矩阵具有低秩特性。但是，作者发现，不重叠的高级块之间的高级阻抗矩阵也是低秩的，可以有效地压缩。此属性用于通过ACA算法有效地计算MLCBFM的高级归约矩阵。此外，给出了用于高级特征基函数（CBF）生成的有效方案，该方案减少了高级CBF生成步骤中的冗余操作，而不会降低准确性。数值结果表明了该方法的准确性和有效性。

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