Two-dimensional direction-of-arrival estimation based on time-domain-coding digital metasurface

Zhou, Qun Yan; Wang, Si Ran; Fang, Zu Qi; Wu, Li; Ke, Jun Chen; Dai, Jun Yan; Cui, Tie Jun; Cheng, Qiang

doi:10.1063/5.0124291

Cited by 22 publications

(4 citation statements)

References 27 publications

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“…In the past years, the metasurfaces have been used in the applications of beam steering [21][22][23], holography [24][25][26], wavefront manipulation [27,28], polarization converter [29,30] and lens [26,[31][32][33]. It is also indicated that electromagnetic waves can be manipulated with metasurfaces by modulating the phases in the space as well as the time domains [34][35][36][37][38][39][40][41][42]. This provides more degrees of freedom for dynamically controlling the reflection from an object [38,42].…”

Section: Introductionmentioning

confidence: 99%

Dynamic control of reflection from a metasurface with distinct modulating mechanisms

Liu,

Pang,

et al. 2024

Smart Mater. Struct.

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Dynamic control of the reflection from an object is much of importance in microwave engineering. In the past the tunable absorbers are usually employed to realize this goal and have been widely discussed. In this work, we propose a metasurface to offer a more flexible solution to dynamically control the reflection property. The proposed metasurface can be independently modulated by three distinct physical mechanisms. Apart from the absorption mechanism as the conventional tunable absorbers, the reflectivity of the proposed metasurface can be dynamically controlled by modulating the phase distribution profiles in the space as well as the time domains. Such flexibly dynamic reflection controlling ability is demonstrated by a series of experimental measurements. Results indicate that the tuning level of the reflectivity is more than 10 dB in a broad frequency band for the three distinct mechanisms. The proposal may find promising application in various fields, such as wireless communications and the stealth technology.

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Section: Introductionmentioning

confidence: 99%

Dynamic control of reflection from a metasurface with distinct modulating mechanisms

Liu,

Pang,

et al. 2024

Smart Mater. Struct.

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“…[22,23] Recent approaches explore a diverse range of strategies, from using metasurfaces as an additional layer alongside antenna arrays to minimize computational requirements by performing 2D discrete Fourier transformations, [24] to substitute traditional antenna arrays with a single programmable metasurface associated with a single receiver. [25,26] These approaches introduce spatiotemporal modulation methods [27,28] and machine learning [29] to further reduce material and computational complexity. Although these methods have led to significant advances, challenges such as data quantity and processing time persist, necessitating ongoing exploration and innovation in the field.…”

Section: Introductionmentioning

confidence: 99%

Programmable Meta‐Reflector for Multiple Tasks in Intelligent Connected Environments

Meftah,

Ratni,

El Korso

et al. 2024

Adv Materials Technologies

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In the face of the challenges posed by the advent of 5G, Internet of Things (IoT) and requirements of future communication generations, the urgent need for cutting‐edge technologies capable of adapting their operation to a variety of dynamic tasks for efficient signal propagation management is clear. Connected intelligent metasurfaces, distinguished by their ability to dynamically and autonomously adapt their responses, and able to interact with an external uncontrollable and fast‐changing communication environment to benefit from collective intelligence so as to determine the required action, are emerging as an innovative solution in this field. Herein, an intelligent connected system based on a programmable metasurface reflector, is presented and assessed in two scenarios simulating dynamic uplink and downlink communications. For the uplink configuration, the metasurface is exploited for the estimation of the direction of arrival (DOA) of an incoming wave, while for the downlink scenario, it enables the automated tracking of mobile targets using global positioning system (GPS) data updated from a real‐time database. Experimental results highlight the responsiveness of the metasurface and demonstrate efficiency in wave focusing and mobile target tracking.

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“…Hence it is necessary to integrate the positioning function on PMS. For instance, introduced the compressive sensing to achieve the direction of arrival (DoA) estimation based on a single channel PMS 40,45 ; combined the space-time-coding (STC) technique to estimate multiple targets 46,47 , etc. But they are half duplex, and cannot estimate the distance of targets.…”

Section: Introductionmentioning

confidence: 99%

Adaptive wireless-powered network based on CNN near-field positioning by a full-duplex metasurface

Cui,

Xia,

Han

et al. 2024

Preprint

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With the revolution in technology and industry, the connectivity of electronic devices has gradually shifted from wired to wireless after long-time exploration. As a solution for power delivery, the non-contact power transfer holds promise charging for moving devices such as sensors, microcomputers, and robots, enabling battery-free sensing, processing, and communication. To reach the goal, we propose the adaptive wireless-powered network (AWPN) based on a full-duplex metasurface to realize a non-contact power supply for target tracking and wireless communications. The fabricated battery-free AWPN can obtain stable powers to perceive and compute the environmental data, which are then informed to the users by wireless communications. In particular, the proposed AWPN is good for moving devices, in which near-field positioning is achieved by the programmable metasurface combined with a convolutional neural network. AWPN can get more than 92% classification accuracy to provide precise positions of the moving targets for beam tracking. Thus, being adaptive and contactless, this AWPN will further propel the advancement of fields such as the Internet of Things (IoT), intelligent metasurface, and the robot industry.

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Two-dimensional direction-of-arrival estimation based on time-domain-coding digital metasurface

Cited by 22 publications

References 27 publications

Dynamic control of reflection from a metasurface with distinct modulating mechanisms

Dynamic control of reflection from a metasurface with distinct modulating mechanisms

Programmable Meta‐Reflector for Multiple Tasks in Intelligent Connected Environments

Adaptive wireless-powered network based on CNN near-field positioning by a full-duplex metasurface

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