Uneven-Layered Coding Metamaterial Tile for Ultra-wideband RCS Reduction and Diffuse Scattering

Su, Jianxun; He, Huan; Li, Zengrui; Yang, Yaoqing; Yin, Hongcheng; Wang, Junhong

doi:10.1038/s41598-018-26386-5

Cited by 39 publications

(27 citation statements)

References 29 publications

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“…This resulted range determines the inherent bandwidth of the proposed unit cell and is similar to that of unit cells usable in the well‐known phase cancelation method …”

Section: Unit Cell Bandwidthmentioning

confidence: 60%

“…One important challenge in the above‐mentioned methods is the RCS reduction bandwidth. So far, a −10 dB RCS reduction bandwidth up to 120% has been reported for phase cancelation method . This bandwidth is 32%, 60%, 67%, and 91% in references to , respectively.…”

Section: Introductionmentioning

confidence: 95%

“…Overall, there are four main methods to reduce the RCS of a flat conductor, namely, using periodically rough metallic surfaces, applying radar absorbing materials, phase cancelation, and polarization cancelation …”

Section: Introductionmentioning

confidence: 99%

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Wideband RCS reduction using polarization cancelation method

Heshmatimoez

Khalaj‐Amirhosseini

2019

Int J RF Microw Comput Aided Eng

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Polarization cancelation method to reduce the monostatic radar cross section (RCS) is investigated thoroughly. The inherent bandwidth of rotatable unit cells is determined. Also, 0-dB RCS reduction bandwidth of any arbitrary method including polarization cancelation method is investigated. A special unit cell is proposed to reduce RCS over 100% fractional bandwidth. Finally, a structure is fabricated and measured so that results in verifying the performance of the proposed unit cell.

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“…This resulted range determines the inherent bandwidth of the proposed unit cell and is similar to that of unit cells usable in the well‐known phase cancelation method …”

Section: Unit Cell Bandwidthmentioning

confidence: 60%

Section: Introductionmentioning

confidence: 95%

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Wideband RCS reduction using polarization cancelation method

Heshmatimoez

Khalaj‐Amirhosseini

2019

Int J RF Microw Comput Aided Eng

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“…Liu et al select two kinds of Minkowski fractal structures, to create an uneven metasurface and realize an RCS reduction more than 10 dB from 5.8 to 18.0 GHz, with a bandwidth of 105.2% [27]. Su et al proposed a novel uneven-layered coding metamaterial and obtained a bandwidth more than 120% [28]. However, they do not consider the influence of polarization and angle on the structure.…”

Section: Introductionmentioning

confidence: 99%

Ultra-Wideband RCS Reduction Based on Non-Planar Coding Diffusive Metasurface

Lin

et al. 2020

Materials

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A novel non-planar coding metasurface optimized by discrete particle swarm algorithm (DPSO) is proposed in terms of the property of wideband radar cross-section (RCS) and diffuse scattering. The design consists of two unit cells, “0” and “1”, which have a 180° ± 37° phase difference for phase interference cancellation. The 10 dB monostatic RCS reduction frequency range of the metasurface is from 6.4 to 29.6 GHz, and its bandwidth ratio is 4.62:1, under normal incidence of the two polarizations. Compared to the planar surface, the non-planar surface has a greater bandwidth with respect to the monostatic and bistatic RCS reduction. The results declare its properties of ultra-wideband, angle insensitivity, and polarization insensitivity. Finally, the theoretical analysis, simulation, and experimental results match perfectly, indicating that the metasurface can be used in the RCS reduction or other microwave applications with wider RCS reduction and diffuse scattering.

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“…The key of coding metasurface design for RCS reduction is coding sequence, so intelligent optimization algorithms can be used to optimize coding sequence. For example, ergodic algorithm [6], simulated annealing algorithm [7], genetic algorithm [8][9][10], and particle swarm optimization algorithm [11][12][13][14][15] can optimize the coding sequence to achieve RCS reduction. There is room for further improvement in the bandwidth of RCS reduction.…”

Section: Introductionmentioning

confidence: 99%

Small-Size Broadband Coding Metasurface for RCS Reduction Based on Particle Swarm Optimization Algorithm

Hao¹,

Du²,

Zhang³

2019

PIER M

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Radar cross section (RCS) reduction technology has great significance in stealth and other fields. A PSO-FSP algorithm is proposed based on the particle swarm optimization algorithm and the far-field scattering characteristics of coding metasurface to obtain the optimized coding sequence for RCS reduction. According to the principle of coding metamaterial, a 1 bit cell structure is designed. Therefore, a coding metasurface is constructed by arranging the unit cells based on the optimized coding sequence. Simulation results show that, in the case of vertical incidence, compared with metal plates of the same size, the metasurface can achieve more than 10 dB of RCS reduction within the broadband range from 15 GHz to 35 GHz, and the maximum reduction can reach 36 dB. The proposed coding metasurface has been successfully fabricated and measured, and there is a good agreement between simulated and measured results.

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Uneven-Layered Coding Metamaterial Tile for Ultra-wideband RCS Reduction and Diffuse Scattering

Cited by 39 publications

References 29 publications

Wideband RCS reduction using polarization cancelation method

Wideband RCS reduction using polarization cancelation method

Ultra-Wideband RCS Reduction Based on Non-Planar Coding Diffusive Metasurface

Small-Size Broadband Coding Metasurface for RCS Reduction Based on Particle Swarm Optimization Algorithm

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