[1]朱治虹[],陈明生[],吴先良[],等. 旋转对称矩量法高阶算法研究[J].计算机技术与发展,2014,24(11):51-53.
　ZHU Zhi-hong[],CHEN Ming-sheng[],WU Xian-liang[],et al. Research on High-order Method of Moments for Solving Bodies of Revolution[J].,2014,24(11):51-53.
点击复制

 旋转对称矩量法高阶算法研究()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年11期
页码:
51-53
栏目:
智能、算法、系统工程
出版日期:
2014-11-10

文章信息/Info

Title:
 Research on High-order Method of Moments for Solving Bodies of Revolution
文章编号:
1673-629X（2014）11-0051-03
作者:
 朱治虹[1];  陈明生[2] ; 吴先良[3] ; 杨梅[1] ; 王时文[1]
1. 安徽大学 电子信息工程学院；2.合肥师范学院 电子信息工程学院
Author(s):
 ZHU Zhi-hong[1] ; CHEN Ming-sheng[2] ; WU Xian-liang[3];  YANG Mei[1] ; WANG Shi-wen[1]
关键词:
 ; 矩量法; 旋转对称目标; 高阶基函数
Keywords:
 ; method of moments; bodies of revolution; high-order basis of function
分类号:
TP301.6
文献标志码:
A
摘要:
 直接应用三维矩量法求解旋转对称目标的电磁散射特性计算效率较低，计算机内存耗费大，利用其结构特点可降维获得一种更为有效的计算方式。然而对于电大目标，这种改进依然是不够的。文中根据旋转对称目标矩量法( BOR-MOM)中电流的分解特征，构建了一种基于切比雪夫近似的高阶基函数，将电流的切向分量和方位角分量分别以该高阶基函数展开后应用矩量法求解。实验结果表明：高阶BOR-MOM算法在低剖分下，具有很高的计算精度，计算效率和存储耗费得到了较大改善。
Abstract:
 It is inefficient that the Method Of Moments (MOM) is applied to solve a three-dimensional (3-D) scattering problem of Bodies Of Revolution ( BOR) . A more efficient low dimensional way has been proposed based on the structural characteristics of BOR. However,this improvement is still not enough for analysis of electrically large objects. According to the decomposition property of the current on the surface of BOR,a high-order basis of function is constructed by the Chebyshev series,in which the current tangent and azi-muth components are expanded into high-order basis functions. Experimental results show that the high-order BOR-MOM can get higher computational precision with lower discretization,it can greatly improve the computational efficiency and storage consumption.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(11):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(11):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(11):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(11):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(11):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(11):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(11):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(11):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(11):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
　YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(11):47.

更新日期/Last Update: 2015-04-07