Analysis of Curved Frequency Selective Surface for Radome using Characteristic Basis Function Method

被引：0

作者：

Park, Chan-Sun ^{[1
]}

Jeong, Yi-Ru ^{[1
]}

Hong, Ic-Pyo ^{[2
]}

Chun, Heoung-Jae ^{[3
]}

Park, Yong Bae ^{[4
]}

Kim, Yoon-Jae ^{[5
]}

Yook, Jong-Gwan ^{[1
]}

机构：

[1] Yonsei Univ, Dept Elect & Elect Engn, Seoul, South Korea

[2] Kongju Natl Univ, Dept Radio Sci Engn, Cheonan, South Korea

[3] Yonsei Univ, Dept Mech Engn, Seoul, South Korea

[4] Ajou Univ, Dept Elect & Comp Engn, Suwon, South Korea

[5] Agcy Def Dev, Daejeon, South Korea

来源：

2016 10TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP) | 2016年

关键词：

Freuquency selective surface; curved FSS; radome; method of moment; characteristic basis function method; ELECTROMAGNETIC SCATTERING; ALGORITHM;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Curved Frequency selective surface (FSS) radome was analyzed by using characteristic basis function method (CBFM). Analysis of conventional FSS radome is classified as electrically large problem and regarded as multiple excitation problem which is cause of increasing in computer resources and calculation time. CBFM is appropriate method to analyze electrically large problem including multiple excitation. We presented several FSS examples for RCS analysis and CPU time for solving FSS with CBFM showed more than 90% reduction compared to conventional method of moment (MoM). We analyzed curved FSS radome to verify accuracy and CPU time-reduction characteristics of CBFM when it applied to complicated FSS structure.

引用

页数：4

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