| 光谱学与光谱分析 |
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| Research Progress of Electromagnetic Metasurface Used for Radar Cross Section Reduction in Microwave and Terahertz Wave |
| YAN Xin1, 2, LIANG Lan-ju1,2*, ZHANG Ya-ting1, DING Xin1, YAO Jian-quan1* |
| 1. College of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China2. School of Opto-Electronic Engineering, Zaozhuang University, Zaozhuang 277160, China |
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Abstract Electromagnetic metasurface with many special electromagnetic properties can be utilized to manipulate electromagnetic wave propagation and reflection. If the metasurfaces were designed for coding, random, phase discontinuities, perfect absorber and so on，they can manipulate the scattering or the reflection of electromagnetic wave and achieve the reduction of the radar cross section(RCS). This paper mainly presents the recent progress concerning the reduction of RCS using non - directional scattering or the absorption characteristic in microwave and terahertz wave. The analysis results show that coding electromagnetic metasurface can disperse the reflection into a variety of direction by designing the specific coding sequences for different elements. The coding metasurface which are composed of different digital elements, and the reflection phase difference of these digital elements is constant in a wide frequency range, and higher bit coding metasurface can flexible manipulate electromagnetic wave. The random electromagnetic metasurface can achieve broadband phase shifter by adjusting the size parameters of array element, and can diffuse characteristic by scattering into random wave of the reflection peaks for metal target. Phase discontinuities metasurface can achieve anomalous or diffuse of wave because the phase distribution is not uniform at the surface. The absorber metasurfaces which are designed reasonably with the physical dimensions of the devices can reduce reflection by absorbing electromagnetic wave energy. So, the electromagnetic metasurfaces have a large potential application for radar stealth, broadband communications, imaging and so on. Finally, we discussed the future development of RCS reduction by using the electromagnetic metasurface. In order to satisfy the needs of practical application, the research of metasurface will continue development in broadband, flexible, large angle and other aspects.
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Received: 2015-01-22
Accepted: 2015-05-16
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Corresponding Authors:
LIANG Lan-ju, YAO Jian-quan
E-mail: lianglanju123@163.com;jqyao@tju.edu.cn
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[1] Shelby R A, Smith D R, Schultz S. Science, 2001, 292: 77.
[2] Liu Z, Lee H, Xiong Y, et al. Science, 2007, 315: 1686.
[3] Zheludev N I. Science, 2010, 328: 582.
[4] Cooper K B, Dengler R Llombart, J N B, et al. IEEE Trans. Terahertz Sci. Technol., 2011, 1: 169.
[5] Wu X, Quan B, Pan X, et al. Biosens. Bioelectron, 2013, 42: 626.
[6] Liang L J, Jin B B, Wu J B. et al. Appl. Phys. B-Lasers. O, 2013, 113: 285.
[7] Danylov A A, Goyette T M, Waldman J. et al. Opt. Express, 2010, 18: 16264.
[8] Chen J, Cheng Q, Zhao J. et al. Progress In Electromagnetics Research, 2014, 146: 71.
[9] LI Yong-feng, ZHANG Jie-qiu, QU Shao-bo, et al(李勇峰, 张介秋，屈邵波，等). Acta Phys. Sin.(物理学报), 2014, 63: 084103.
[10] Cao T, Wei C W, Simpson R E, et al. Science Reports, 2014, 4: 1.
[11] Wang B X, Wang L L, et al. J. Lightwave Technol., 2014, 32: 1183.
[12] Grady N K, Heyes J E, Chowdhury D R, et al. Science, 2013, 340: 1304.
[13] Wang F W, Gong S X, Zhang S. et al. Progress in Electromagnetics Research, 2012, 25: 2487.
[14] Yang X M, Zhou X Y, Cheng Q, et al. Opt. Lett., 2010, 35: 808.
[15] Cui T J, Qi M Q, Wan X, et al. Light: Science & Applications, 2014, 3: e218.
[16] Wang K, Zhao J, Cheng Q, et al. Scientific Reports, 2014, 4: 5395.
[17] Li Y F, Zhang J Q, Qu S B, et al. Appl. Phys. Lett., 2014, 104: 221110.
[18] Wang F W, Gong S X, Zhang S, et al. Progress In Electromagnetics Research, 2012, 25: 2487.
[19] Yang H H, Cao X Y, Gao J, et al. Progress in Electromagnetics Research, 2013, 33: 31.
[20] Iwaszczuk K, Strikwerda A C, Fan K, et al. Opt. Express, 2011, 20: 635. |
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