Integrated Analysis and Optimization of the Large Airborne RadomeEnclosed Antenna System

被引：3

作者：

Zhai, Chang ^{[1
]}

Zhao, Xunwang ^{[1
]}

Lin, Zhongchao ^{[1
]}

Zhang, Yu ^{[1
]}

机构：

[1] Xidian Univ, Shaanxi Key Lab Large Scale Electromagnet Comp, Xian 710071, Shaanxi, Peoples R China

来源：

APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL | 2020年 / 35卷 / 10期

基金：

美国国家科学基金会;

关键词：

AMPSO; HO-OC-DDM; integrated analysis and optimization; parallel algorithm; RADOME; CORE; DDM; MOM;

D O I：

10.47037/2020.ACES.J.351012

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

In order to realize integrally analysis and optimization of the large airborne radome-enclosed antenna system, a novel optimization strategy is proposed based on an overlapping domain decomposition method by using higher-order MoM and out-of-core solver (HO-OC-DDM), and combining with adaptive mutation particle swarm optimization (AMPSO). The introduction of parallel out-of-core solver and DDM can effectively break the random access memory (RAM) limit. This strategy can decompose difficult-to-solve global optimization problems into multi-domain optimization problems by using domain decomposition method. Finally, take airborne Yagi antenna system as an example, the numerical results show that the design of large airborne radome-enclosed antenna system based on the proposed strategy is convenient and effective.

引用

页码：1192 / 1199

页数：8

共 24 条

[11]

Multithreaded Stochastic PDES for Reactions and Diffusions in Neurons [J].