Absorptive coding metasurface for further radar cross section reduction

Sui, Sai; Ma, Hua; Wang, Jiafu; Pang, Yongqiang; Feng, Ming; Xu, Zhuo; Qu, Shaobo

doi:10.1088/1361-6463/aaa3be

Cited by 98 publications

(48 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, one can approach the coding pattern problem with such optimization techniques. As a result, GA, [133,146,163] but also particle-swarm, [130,131] simulated annealing, [141,145] or Binary Bat [152] algorithms have been used in multiple cases. Although most of these optimization techniques have been tested in static designs with non-tunable unit cells, the approach is directly applicable to programmable metasurfaces that need to be dynamically reconfigured in order to successfully switch between functionalities.…”

Section: Coding and Programmable Metasurfacesmentioning

confidence: 99%

Toward Intelligent Metasurfaces: The Progress from Globally Tunable Metasurfaces to Software‐Defined Metasurfaces with an Embedded Network of Controllers

Tsilipakos

Tasolamprou

Pitilakis

et al. 2020

Advanced Optical Materials

192

110

View full text Add to dashboard Cite

Metasurfaces, the ultrathin, 2D version of metamaterials, have recently attracted a surge of attention for their capability to manipulate electromagnetic waves. Recent advances in reconfigurable and programmable metasurfaces have greatly extended their scope and reach into practical applications. Such functional sheet materials can have enormous impact on imaging, communication, and sensing applications, serving as artificial skins that shape electromagnetic fields. Motivated by these opportunities, this progress report provides a review of the recent advances in tunable and reconfigurable metasurfaces, highlighting the current challenges and outlining directions for future research. To better trace the historical evolution of tunable metasurfaces, a classification into globally and locally tunable metasurfaces is first provided along with the different physical addressing mechanisms utilized. Subsequently, coding metasurfaces, a particular class of locally tunable metasurfaces in which each unit cell can acquire discrete response states, is surveyed, since it is naturally suited to programmatic control. Finally, a new research direction of software‐defined metasurfaces is described, which attempts to push metasurfaces toward unprecedented levels of functionality by harnessing the opportunities offered by their software interface as well as their inter‐ and intranetwork connectivity and establish them in real‐world applications.

show abstract

Section: Coding and Programmable Metasurfacesmentioning

confidence: 99%

Toward Intelligent Metasurfaces: The Progress from Globally Tunable Metasurfaces to Software‐Defined Metasurfaces with an Embedded Network of Controllers

Tsilipakos

Tasolamprou

Pitilakis

et al. 2020

Advanced Optical Materials

192

110

View full text Add to dashboard Cite

show abstract

“…They are part of a class of structures, generally called metasurfaces, which include high impedance surface (HIS), electromagnetic bandgap (EBG), artificial impedance surface (AIS), and so forth. These metasurfaces are relevant to multiple applications for antennas, lenses, absorbers, imaging, and waveguides [27][28][29][30][31][32][33][34]. But, until now, using coding metasurfaces to reduce edge scattering has rarely been reported.…”

Section: Introductionmentioning

confidence: 99%

Suppressing Edge Back-Scattering of Electromagnetic Waves Using Coding Metasurface Purfle

Feng

Wang

et al. 2020

Front. Phys.

Self Cite

View full text Add to dashboard Cite

Edge scattering is one of the main scattering sources for metal objects, especially for those with thin front edges. In this paper, based on the principle of scattering cancelation, a coding metasurface purfle is proposed and employed to suppress the edge back-scattering of electromagnetic (EM) waves. To this end, two split-ring resonators with a π phase difference between them are designed to act as the 0-and 1-element of the coding metasurface. The coding metasurface fixed on the front edge of a thin metal plate can reduce the edge back-scattering significant for EM waves polarized along the edge direction due to the anti-phase scattering of the two coding elements. Both the simulation and experiment results verify the reduced back-scattering of the flat edge. A maximal reduction of 24 dB is attained within the central frequency of about 11 GHz. This work provides a novel alternative to suppressing edge scattering and may find applications in EM compatibility, radar stealth technologies, etc.

show abstract

“…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

View full text Add to dashboard Cite

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.

show abstract

Absorptive coding metasurface for further radar cross section reduction

Cited by 98 publications

References 22 publications

Toward Intelligent Metasurfaces: The Progress from Globally Tunable Metasurfaces to Software‐Defined Metasurfaces with an Embedded Network of Controllers

Toward Intelligent Metasurfaces: The Progress from Globally Tunable Metasurfaces to Software‐Defined Metasurfaces with an Embedded Network of Controllers

Suppressing Edge Back-Scattering of Electromagnetic Waves Using Coding Metasurface Purfle

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

Contact Info

Product

Resources

About