Analysis of Curved Frequency selective surface for radome using characteristic basis function method

Chan Sun Park; Yi Ru Jeong; Ic Pyo Hong; Heoung Jae Chun; Yong Bae Park; Yoon Jae Kim; Jong Gwan Yook

doi:10.1109/EuCAP.2016.7481386

Analysis of Curved Frequency selective surface for radome using characteristic basis function method

Chan Sun Park, Yi Ru Jeong, Ic Pyo Hong, Heoung Jae Chun, Yong Bae Park, Yoon Jae Kim, Jong Gwan Yook

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

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.

本文言語	English
ホスト出版物のタイトル	2016 10th European Conference on Antennas and Propagation, EuCAP 2016
出版社	Institute of Electrical and Electronics Engineers Inc.
ISBN（電子版）	9788890701863
DOI	https://doi.org/10.1109/EuCAP.2016.7481386
出版ステータス	Published - 2016 5月 31
外部発表	はい
イベント	10th European Conference on Antennas and Propagation, EuCAP 2016 - Davos, Switzerland 継続期間: 2016 4月 10 → 2016 4月 15

Other

Other	10th European Conference on Antennas and Propagation, EuCAP 2016
国/地域	Switzerland
City	Davos
Period	16/4/10 → 16/4/15

ASJC Scopus subject areas

放射線
コンピュータネットワークおよび通信
器械工学

文献へのアクセス

10.1109/EuCAP.2016.7481386

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引用スタイル

Park, C. S., Jeong, Y. R., Hong, I. P., Chun, H. J., Park, Y. B., Kim, Y. J., & Yook, J. G. (2016). Analysis of Curved Frequency selective surface for radome using characteristic basis function method. In 2016 10th European Conference on Antennas and Propagation, EuCAP 2016 記事 7481386 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EuCAP.2016.7481386

Park, CS, Jeong, YR, Hong, IP, Chun, HJ, Park, YB, Kim, YJ & Yook, JG 2016, Analysis of Curved Frequency selective surface for radome using characteristic basis function method. in 2016 10th European Conference on Antennas and Propagation, EuCAP 2016., 7481386, Institute of Electrical and Electronics Engineers Inc., 10th European Conference on Antennas and Propagation, EuCAP 2016, Davos, Switzerland, 16/4/10. https://doi.org/10.1109/EuCAP.2016.7481386

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title = "Analysis of Curved Frequency selective surface for radome using characteristic basis function method",

abstract = "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.",

keywords = "characteristic basis function method, curved FSS, Frequency selective surface, method of moment, radome",

author = "Park, {Chan Sun} and Jeong, {Yi Ru} and Hong, {Ic Pyo} and Chun, {Heoung Jae} and Park, {Yong Bae} and Kim, {Yoon Jae} and Yook, {Jong Gwan}",

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AU - Park, Chan Sun

AU - Jeong, Yi Ru

AU - Hong, Ic Pyo

AU - Chun, Heoung Jae

AU - Park, Yong Bae

AU - Kim, Yoon Jae

AU - Yook, Jong Gwan

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AB - 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.

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Analysis of Curved Frequency selective surface for radome using characteristic basis function method

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