Intelligent metasurface with frequency recognition for adaptive manipulation of electromagnetic wave

Author:

Wang Hai Peng1ORCID,Li Yun Bo1,Li He1,Shen Jia Lin1,Dong Shu Yue1,Wang Shi Yu1,Qi Kai Nan2,Ma Qian1ORCID,Jin Shi3,Li Si Jia14ORCID,Cui Tie Jun1ORCID

Affiliation:

1. State Key Laboratory of Millimeter Waves , Southeast University , Nanjing , 210096 , China

2. Science and Technology on Electromagnetic Scattering Laboratory , Beijing , 100854 , China

3. National Mobile Communications Research Laboratory , Southeast University , Nanjing 210096 , China

4. Information and Navigation College , Air Force Engineering University , Xi’an , 710077 , China

Abstract

Abstract Due to the strong ability of recognizing electromagnetic (EM) environment and adaptively control of EM waves, the intelligent metasurfaces have received great attention recently. However, the intelligent metasurface with frequency recognition for adaptive manipulation of the EM waves has not been studied. Here, we propose a frequency-recognition intelligent metasurface to precisely control the spatial EM waves under the agile frequencies with the help of a real-time radio-frequency sensor and an adaptive feedback control system. An active meta-atom is presented to reach 2 bit phase coding and 1 bit amplitude coding capacities to control the amplitude and phase independently. Experimental results demonstrate that the metasurface can recognize different frequency of the incoming wave with very high resolution, and can adaptively realize the self-defined multiple frequency agilities to manipulate the reflected EM waves without any human participation. As example, the intelligent metasurface with frequency recognition can adaptively operate wave absorption at 5.36 GHz, reflection to normal direction at 5.38 GHz, deflection to −30° at 5.40 GHz, random diffusion at 5.42 GHz, and deflection to +33° at 5.44 GHz by detecting the incoming frequency at the resolution of 0.02 GHz.

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials,Biotechnology

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