MLSSM算法实现网格离散复杂目标的优化设计  

Optimization design of using MLSSM algorithm to disperse multi-grid complex target

作　　者：徐莉 潘宏 孙洪艳 

机构地区：[1]四川医科大学,四川泸州646000

出　　处：《现代电子技术》2016年第7期161-166,共6页Modern Electronics Technique

基　　金：四川省科技厅科技支撑项目(SZ20120209;2012SZ0181)

摘　　要：为改进三维大尺寸复杂物体电磁建模精确求解的效率,采用了自适应交叉算法(ACA)基础上的多层简易矩阵稀疏算法(MLSSM)改进的方式,通过算法的理论及实现过程分析在实验验证中表明:应用的改进ACA算法计算效率比矩量法逐点计算显著提高;改进的MLSSM的内存需求减少了一半左右,矩阵构造过程速度有了明显提高;改进的MLSSM降低了计算复杂度,迭代求解过程速度有了明显提高。从算法对比结果可以看出,改进的MLSSM在降低计算复杂度方面占据优势,在分析半空间上大目标复杂物体优势明显。这一研究对复杂物体的电磁建模优化具有一定的理论和应用意义。To improve the efficiency of exactly solving the electromagnetic modeling of large-size three-dimensional complex object,the improved multilayer simple sparse matrix（MLSSM）algorithm based on adaptive crossover algorithm（ACA）is adopted. The experimental verification of theory analysis and realization process shows that：the computing efficiency of using improved ACA algorithm is significantly increased than that of moment method;the memory requirement is reduced by a half by means of the improved MLSSM,which can significantly improve the speed of matrix construction process;the computing complexity is reduced by means of the improved MLSSM,and the speed of iterative solution process is significantly improved. The comparison results show that the improved MLSSM algorithm has the advantages in the aspects of reducing the computing complexity and analyzing the large complex object in half space. The study has certain theoretical and applied significances for the optimization of the complex object electromagnetic modeling.

关 键 词：电磁建模 精确求解 复杂物体 多层简易矩阵稀疏算法 自适应交叉算法 

分 类 号：TN915[电子电信—通信与信息系统]