2019
DOI: 10.3390/ma12172708
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Wideband RCS Reduction Using Coding Diffusion Metasurface

Abstract: 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… Show more

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Cited by 36 publications
(20 citation statements)
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“…Then, based on the above results, the phase difference of 180 • ± 37 • can be realized and shown in Figure 3b. Compared with previously reported results [12][13][14][15][16][17][22][23][24], the non-planar circle ring structure can obtain a larger bandwidth, which is beneficial to the preparation of broadband metasurfaces. It is worth mentioning that the physical mechanism of a non-planar structure is introducing a variable parameter of height, compared with a planar structure, so that basic meta-particles with variable phase differences are greatly added and increase the ability to manipulating the EM waves.…”
Section: Unit Cell Designmentioning
confidence: 62%
See 1 more Smart Citation
“…Then, based on the above results, the phase difference of 180 • ± 37 • can be realized and shown in Figure 3b. Compared with previously reported results [12][13][14][15][16][17][22][23][24], the non-planar circle ring structure can obtain a larger bandwidth, which is beneficial to the preparation of broadband metasurfaces. It is worth mentioning that the physical mechanism of a non-planar structure is introducing a variable parameter of height, compared with a planar structure, so that basic meta-particles with variable phase differences are greatly added and increase the ability to manipulating the EM waves.…”
Section: Unit Cell Designmentioning
confidence: 62%
“…In recent years, coding metasurface has been used to obtain broadband RCS reduction, which performs more accurately than checkerboard structures in controlling EM waves [16,17]. It can be traced back to Sievenpiper, who applies frequency-selective surfaces for phase control [18].…”
Section: Introductionmentioning
confidence: 99%
“…Researchers do not need to consider the specific metallic structures constituting the ultimate coding metasurface, because the coding patterns determine the far-field and nearfield scattering fields, and the distribution of these metallic structures in the metasurface can be clarified. Following this concept of coding metasurfaces, different functions passive metasurfaces and methods have been proposed and presented, such as reducing radar cross-section [45][46][47][48][49][50], directional deflection of THz beams [17,[51][52][53][54], hologram imaging [55][56][57][58][59][60][61][62][63] and so on. However, in applications requiring THz wave variation, passive metasurfaces cannot perform the required functions, such as high-speed modulated metasurfaces for THz communication, wavefront reconstructed metasurfaces for THz imaging, beam scanning in THz radar and so on.…”
Section: Introductionmentioning
confidence: 99%
“…Metasurfaces are typically defined as a designed structures with lattice constants and thicknesses bellow the Bragg limit. Various kinds of MSs have been reported to improve the performances of antennas [1,2,3,4,5,6,7,8]. For example, due to the 0° reflection phase of an artificial magnetic surface (AMC), the antenna can have a higher boresight gain with a lower profile by using AMC as ground plane below the radiating element, compared with perfect electrical conductor ground [1].…”
Section: Introductionmentioning
confidence: 99%
“…In reference [7], the MS is used to change the linearly polarized EM waves from an antenna into circularly polarized EM waves. In reference [8], a radar cross-section (RCS) reduction technique by using the coding diffusion MS is presented, and the MS is optimized through a random optimization algorithm.…”
Section: Introductionmentioning
confidence: 99%