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Wideband RCS Reduction Using Coding Diffusion Metasurface
This paper presents a radar cross-section (RCS) reduction technique by using the coding diffusion metasurface, which is optimised through a random optimization algorithm. The design consists of two unit cells, which are elements ‘1’ and ‘0’. The reflection phase between the two-unit cells has a 180°...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747563/ https://www.ncbi.nlm.nih.gov/pubmed/31450839 http://dx.doi.org/10.3390/ma12172708 |
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author | Ali, Luqman Li, Qinlong Ali Khan, Tayyab Yi, Jianjia Chen, Xiaoming |
author_facet | Ali, Luqman Li, Qinlong Ali Khan, Tayyab Yi, Jianjia Chen, Xiaoming |
author_sort | Ali, Luqman |
collection | PubMed |
description | This paper presents a radar cross-section (RCS) reduction technique by using the coding diffusion metasurface, which is optimised through a random optimization algorithm. The design consists of two unit cells, which are elements ‘1’ and ‘0’. The reflection phase between the two-unit cells has a 180° ± 37° phase difference. It has a working frequency band from 8.6 GHz to 22.5 GHz, with more than 9 dB RCS reduction. The monostatic RCS reduction has a wider bandwidth of coding diffusion metasurface as compared to the traditional chessboard metasurface. In addition, the bistatic performance of the designed metasurfaces is observed at 15.4 GHz, which shows obvious RCS reduction when compared to a metallic plate of the same size. The simulated and measured result shows the proficiency of the designed metasurface. |
format | Online Article Text |
id | pubmed-6747563 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67475632019-09-27 Wideband RCS Reduction Using Coding Diffusion Metasurface Ali, Luqman Li, Qinlong Ali Khan, Tayyab Yi, Jianjia Chen, Xiaoming Materials (Basel) Article This paper presents a radar cross-section (RCS) reduction technique by using the coding diffusion metasurface, which is optimised through a random optimization algorithm. The design consists of two unit cells, which are elements ‘1’ and ‘0’. The reflection phase between the two-unit cells has a 180° ± 37° phase difference. It has a working frequency band from 8.6 GHz to 22.5 GHz, with more than 9 dB RCS reduction. The monostatic RCS reduction has a wider bandwidth of coding diffusion metasurface as compared to the traditional chessboard metasurface. In addition, the bistatic performance of the designed metasurfaces is observed at 15.4 GHz, which shows obvious RCS reduction when compared to a metallic plate of the same size. The simulated and measured result shows the proficiency of the designed metasurface. MDPI 2019-08-23 /pmc/articles/PMC6747563/ /pubmed/31450839 http://dx.doi.org/10.3390/ma12172708 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ali, Luqman Li, Qinlong Ali Khan, Tayyab Yi, Jianjia Chen, Xiaoming Wideband RCS Reduction Using Coding Diffusion Metasurface |
title | Wideband RCS Reduction Using Coding Diffusion Metasurface |
title_full | Wideband RCS Reduction Using Coding Diffusion Metasurface |
title_fullStr | Wideband RCS Reduction Using Coding Diffusion Metasurface |
title_full_unstemmed | Wideband RCS Reduction Using Coding Diffusion Metasurface |
title_short | Wideband RCS Reduction Using Coding Diffusion Metasurface |
title_sort | wideband rcs reduction using coding diffusion metasurface |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747563/ https://www.ncbi.nlm.nih.gov/pubmed/31450839 http://dx.doi.org/10.3390/ma12172708 |
work_keys_str_mv | AT aliluqman widebandrcsreductionusingcodingdiffusionmetasurface AT liqinlong widebandrcsreductionusingcodingdiffusionmetasurface AT alikhantayyab widebandrcsreductionusingcodingdiffusionmetasurface AT yijianjia widebandrcsreductionusingcodingdiffusionmetasurface AT chenxiaoming widebandrcsreductionusingcodingdiffusionmetasurface |