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 proceedingConference contribution

3 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 languageEnglish
Title of host publication2016 10th European Conference on Antennas and Propagation, EuCAP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788890701863
DOIs
Publication statusPublished - 2016 May 31
Externally publishedYes
Event10th European Conference on Antennas and Propagation, EuCAP 2016 - Davos, Switzerland
Duration: 2016 Apr 102016 Apr 15

Other

Other10th European Conference on Antennas and Propagation, EuCAP 2016
CountrySwitzerland
CityDavos
Period16/4/1016/4/15

Fingerprint

radomes
Radomes
Frequency selective surfaces
selective surfaces
Program processors
method of moments
Method of moments
Surface structure
excitation
resources
causes

Keywords

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

ASJC Scopus subject areas

  • Radiation
  • Computer Networks and Communications
  • Instrumentation

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 [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; Chun, Heoung Jae; Park, Yong Bae; Kim, Yoon Jae; Yook, Jong Gwan.

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 proceedingConference 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
Park CS, Jeong YR, Hong IP, Chun HJ, Park YB, Kim YJ et al. Analysis of Curved Frequency selective surface for radome using characteristic basis function method. In 2016 10th European Conference on Antennas and Propagation, EuCAP 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7481386 https://doi.org/10.1109/EuCAP.2016.7481386
Park, Chan Sun ; Jeong, Yi Ru ; Hong, Ic Pyo ; Chun, Heoung Jae ; Park, Yong Bae ; Kim, Yoon Jae ; Yook, Jong Gwan. / Analysis of Curved Frequency selective surface for radome using characteristic basis function method. 2016 10th European Conference on Antennas and Propagation, EuCAP 2016. Institute of Electrical and Electronics Engineers Inc., 2016.
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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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