Suppr超能文献

一种具有低红外发射率的超宽带频率选择吸收器。

An Ultra-Wideband Frequency Selective Rasorber with Low Infrared Emissivity.

作者信息

Song Hang, Zhang Yuning, Zhang Shengjun, Li Jingfeng, Ai Xia, Zhang Han, Liu Jiaqi

机构信息

National Key Laboratory of Science & Technology on Test Physics and Numerical Mathematics, Beijing 100071, China.

出版信息

Materials (Basel). 2024 Jul 10;17(14):3414. doi: 10.3390/ma17143414.

Abstract

The paper proposes an ultra-wideband frequency selective rasorber (FSR) with low infrared emissivity for the composite detection threat of both radars and infrared sensors. Firstly, the equivalent circuit (EC) method based on transmission line (TL) theory is utilized to analyze the absorption/transmission conditions. Then, based on the analysis above, sinusoidal microstrip lines with non-frequency-varying characteristics are adopted in the design, which significantly enhances the transmission bandwidth of FSR. The FSR demonstrates an absorption band ranging from 2.65 GHz to 8.80 GHz and a transmission band ranging from 9.15 GHz to 17.71 GHz. Furthermore, an infrared shielding layer (IRSL) exhibiting low emissivity in the infrared band and high transmittance in the microwave band is applied to the FSR. The simulation and experiment results verify that the IRSL-FSR demonstrates an ultra-wide transmission band ranging from 9.16 GHz to 17.94 GHz and an ultra-wide absorption band ranging from 2.66 GHz to 8.01 GHz. Additionally, it exhibits a low emissivity value (0.23) in 8-14 μm, providing a viable solution to the formidable challenge of radar-infrared bistealth for satellites and other communication-enabled flying platforms.

摘要

本文提出了一种用于雷达和红外传感器复合探测威胁的具有低红外发射率的超宽带频率选择吸收器(FSR)。首先,利用基于传输线(TL)理论的等效电路(EC)方法来分析吸收/传输条件。然后,基于上述分析,在设计中采用具有非频率变化特性的正弦微带线,这显著提高了FSR的传输带宽。该FSR展示了一个从2.65 GHz到8.80 GHz的吸收带和一个从9.15 GHz到17.71 GHz的传输带。此外,将在红外波段具有低发射率且在微波波段具有高透射率的红外屏蔽层(IRSL)应用于FSR。仿真和实验结果验证了IRSL - FSR展示了一个从9.16 GHz到17.94 GHz的超宽传输带和一个从2.66 GHz到8.01 GHz的超宽吸收带。此外,它在8 - 14μm范围内表现出低发射率值(0.23),为卫星和其他具有通信功能的飞行平台面临的雷达 - 红外双隐身这一艰巨挑战提供了可行的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba09/11278342/952cae5f12b6/materials-17-03414-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验