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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°...

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Detalles Bibliográficos
Autores principales: Ali, Luqman, Li, Qinlong, Ali Khan, Tayyab, Yi, Jianjia, Chen, Xiaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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.
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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
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AT yijianjia widebandrcsreductionusingcodingdiffusionmetasurface
AT chenxiaoming widebandrcsreductionusingcodingdiffusionmetasurface