RCS Computation by Parallel MoM Using Higher-Order Basis Functions

RCS Computation by Parallel MoM Using Higher-Order Basis Functions

A Message-Passing Interface (MPI) parallel implementation of an integral equation solver that uses the Method of Moments (MoM) with higher-order basis functions has been proposed to compute the Radar Cross-Section (RCS) of various targets. The block-partitioned scheme for the large dense MoM matrix...

Full description

Bibliographic Details
Main Authors: Ying Yan, Yu Zhang, Chang-Hong Liang, Hui Zhao, D. García-Doñoro
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2012/745893
id doaj-776c60a9c6524b0a94ada7445706d3ea
record_format Article
spelling doaj-776c60a9c6524b0a94ada7445706d3ea2020-11-25T00:02:01ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58691687-58772012-01-01201210.1155/2012/745893745893RCS Computation by Parallel MoM Using Higher-Order Basis FunctionsYing Yan0Yu Zhang1Chang-Hong Liang2Hui Zhao3D. García-Doñoro4School of Electronic Engineering, Xidian University, Xi'an, Shaanxi 710071, ChinaSchool of Electronic Engineering, Xidian University, Xi'an, Shaanxi 710071, ChinaSchool of Electronic Engineering, Xidian University, Xi'an, Shaanxi 710071, ChinaDepartment of Aerial Platform System, China Academy of Electronics and Information Technology, Beijing 100041, ChinaDepartment of Signal Theory and Communications, University Carlos III of Madrid, 28911 Leganés, SpainA Message-Passing Interface (MPI) parallel implementation of an integral equation solver that uses the Method of Moments (MoM) with higher-order basis functions has been proposed to compute the Radar Cross-Section (RCS) of various targets. The block-partitioned scheme for the large dense MoM matrix is designed to achieve excellent load balance and high parallel efficiency. Some numerical results demonstrate that higher-order basis in this parallelized scheme is more efficient than the conventional RWG method and able to efficiently analyze RCS of various electrically large platforms.http://dx.doi.org/10.1155/2012/745893
collection DOAJ
language English
format Article
sources DOAJ
author Ying Yan
Yu Zhang
Chang-Hong Liang
Hui Zhao
D. García-Doñoro
spellingShingle Ying Yan
Yu Zhang
Chang-Hong Liang
Hui Zhao
D. García-Doñoro
RCS Computation by Parallel MoM Using Higher-Order Basis Functions
International Journal of Antennas and Propagation
author_facet Ying Yan
Yu Zhang
Chang-Hong Liang
Hui Zhao
D. García-Doñoro
author_sort Ying Yan
title RCS Computation by Parallel MoM Using Higher-Order Basis Functions
title_short RCS Computation by Parallel MoM Using Higher-Order Basis Functions
title_full RCS Computation by Parallel MoM Using Higher-Order Basis Functions
title_fullStr RCS Computation by Parallel MoM Using Higher-Order Basis Functions
title_full_unstemmed RCS Computation by Parallel MoM Using Higher-Order Basis Functions
title_sort rcs computation by parallel mom using higher-order basis functions
publisher Hindawi Limited
series International Journal of Antennas and Propagation
issn 1687-5869
1687-5877
publishDate 2012-01-01
description A Message-Passing Interface (MPI) parallel implementation of an integral equation solver that uses the Method of Moments (MoM) with higher-order basis functions has been proposed to compute the Radar Cross-Section (RCS) of various targets. The block-partitioned scheme for the large dense MoM matrix is designed to achieve excellent load balance and high parallel efficiency. Some numerical results demonstrate that higher-order basis in this parallelized scheme is more efficient than the conventional RWG method and able to efficiently analyze RCS of various electrically large platforms.
url http://dx.doi.org/10.1155/2012/745893
work_keys_str_mv AT yingyan rcscomputationbyparallelmomusinghigherorderbasisfunctions
AT yuzhang rcscomputationbyparallelmomusinghigherorderbasisfunctions
AT changhongliang rcscomputationbyparallelmomusinghigherorderbasisfunctions
AT huizhao rcscomputationbyparallelmomusinghigherorderbasisfunctions
AT dgarciadonoro rcscomputationbyparallelmomusinghigherorderbasisfunctions
_version_ 1725439955830833152

Similar Items