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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

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.

Original language	English
Title of host publication	2016 10th European Conference on Antennas and Propagation, EuCAP 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9788890701863
DOIs	https://doi.org/10.1109/EuCAP.2016.7481386
Publication status	Published - 2016 May 31
Externally published	Yes
Event	10th European Conference on Antennas and Propagation, EuCAP 2016 - Davos, Switzerland Duration: 2016 Apr 10 → 2016 Apr 15

Other

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

Keywords

characteristic basis function method
curved FSS
Frequency selective surface
method of moment
radome

ASJC Scopus subject areas

Radiation
Computer Networks and Communications
Instrumentation

Access to Document

10.1109/EuCAP.2016.7481386

Cite this

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 Article 7481386 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EuCAP.2016.7481386

Analysis of Curved Frequency selective surface for radome using characteristic basis function method. / Park, Chan Sun; Jeong, Yi Ru; Hong, Ic Pyo et al.
2016 10th European Conference on Antennas and Propagation, EuCAP 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7481386.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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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.",

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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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