A Reconfigurable Intelligent Surface Aided Dual-Function Radar and Communication System

Yan, Shucheng; Cai, Shu; Xia, Wenchao; Zhang, Jun; Xia, Shuqiang

doi:10.1109/jcs54387.2022.9743509

Cited by 30 publications

(8 citation statements)

References 31 publications

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“…1, we adopt a novel sensorat-RIS architecture [20], where the radar receiving sensors are installed adjacent to the BD-RIS to collect the echo signals. This architecture greatly reduces the multi-step pathloss compared with the sensor-at-DFBS architecture [21]- [23]. Moreover, we consider a scenario where the radar receiver attempts to detect K targets in the presence of Q strong clutters.…”

Section: Radar Modelmentioning

confidence: 99%

A Dual-Function Radar-Communication System Empowered by Beyond Diagonal Reconfigurable Intelligent Surface

Wang¹,

Li²,

Cheng³

et al. 2023

Preprint

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This work focuses on the use of reconfigurable intelligent surface (RIS) in dual-function radar-communication (DFRC) systems to improve communication capacity and sensing precision, and enhance coverage for both functions. In contrast to most of the existing RIS aided DFRC works where the RIS is modeled as a diagonal phase shift matrix and can only reflect signals to half space, we propose a novel beyond diagonal RIS (BD-RIS) aided DFRC system. Specifically, the proposed BD-RIS supports the hybrid reflecting and transmitting mode, and is compatible with flexible single/group/fully-connected architectures, enabling the system to realize full-space coverage. To achieve the expected benefits, we jointly optimize the transmit waveform, the BD-RIS coefficients, and sensing receive filters, by maximizing the minimum signal-to-clutter-plus-noise ratio for fair target detection, subject to the constraints of the communication quality of service, different BD-RIS architectures and power budget. To solve the non-convex and non-smooth max-min problem, a general solution based on the alternating direction method of multipliers is provided for all considered BD-RIS architectures. Numerical simulations validate the efficacy of the proposed algorithm and show the superiority of the BD-RIS aided DFRC system in terms of both communication and sensing compared to conventional RIS aided DFRC.

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Section: Radar Modelmentioning

confidence: 99%

A Dual-Function Radar-Communication System Empowered by Beyond Diagonal Reconfigurable Intelligent Surface

Wang¹,

Li²,

Cheng³

et al. 2023

Preprint

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show abstract

“…Meanwhile, advanced algorithms are required to optimize the RIS reflecting coefficients, since the received echo signals depend on the coefficients in a complex and non-linear way, which significantly complicates the use of typical metrics such as SNR/SINR. With this general signal model, the authors in [12] assumed a simplified system model with one target and one user and investigated maximization of the radar SNR of received echo signals under the communication SNR and total power constraints. Sophisticated derivations associated with the MM and semidefinite relaxation (SDR) methods were conducted to jointly optimize the transmit beamforming and the RIS reflecting coefficients.…”

Section: B Ris-assisted Isac Systemsmentioning

confidence: 99%

Integrated Sensing and Communication with Reconfigurable Intelligent Surfaces: Opportunities, Applications, and Future Directions

Liu¹,

Li²,

Luo³

et al. 2022

Preprint

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Integrated sensing and communication (ISAC) is emerging as a key enabler to address the growing spectrum congestion problem and satisfy increasing demands for ubiquitous sensing and communication. By sharing various resources and information, ISAC achieves much higher spectral, energy, hardware, and economic efficiencies. Concurrently, reconfigurable intelligent surface (RIS) technology has been deemed as a promising approach due to its capability of intelligently manipulating the wireless propagation environment in an energy and hardware efficient manner. In this article, we analyze the potential of deploying RIS to improve communication and sensing performance in ISAC systems. We first describe the fundamentals of RIS and its applications in traditional communication and sensing systems, then introduce the principles of ISAC and overview existing explorations on RIS-assisted ISAC, followed by one case study to verify the advantages of deploying RIS in ISAC systems. Finally, open challenges and research directions are discussed to stimulate this line of research and pave the way for practical applications.

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“…A joint design of transmit beamforming and RIS reflecting for radar sensing and single-user communications has been demonstrated [26]. On the other hand, a passive beamformer design in a RIS-Aided DFRC system was designed to meet the communication requirements of the users [25].…”

Section: Introductionmentioning

confidence: 99%

RIS-Assisted MIMO OFDM Dual-Function Radar-Communication Based on Mutual Information Optimization

ELHAG,

LIU,

WEI

et al. 2024

IEICE Trans. Fundamentals

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The concept of dual function radar-communication (DFRC) provides solution to the problem of spectrum scarcity. This paper examines a multiple-input multiple-output (MIMO) DFRC system with the assistance of a reconfigurable intelligent surface (RIS). The system is capable of sensing multiple spatial directions while serving multiple users via orthogonal frequency division multiplexing (OFDM). The objective of this study is to design the radiated waveforms and receive filters utilized by both the radar and users. The mutual information (MI) is used as an objective function, on average transmit power, for multiple targets while adhering to constraints on power leakage in specific directions and maintaining each user's error rate. To address this problem, we propose an optimal solution based on a computational genetic algorithm (GA) using bisection method. The performance of the solution is demonstrated by numerical examples and it is shown that, our proposed algorithm can achieve optimum MI and the use of RIS with the MIMO DFRC system improving the system performance.

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A Reconfigurable Intelligent Surface Aided Dual-Function Radar and Communication System

Cited by 30 publications

References 31 publications

A Dual-Function Radar-Communication System Empowered by Beyond Diagonal Reconfigurable Intelligent Surface

A Dual-Function Radar-Communication System Empowered by Beyond Diagonal Reconfigurable Intelligent Surface

Integrated Sensing and Communication with Reconfigurable Intelligent Surfaces: Opportunities, Applications, and Future Directions

RIS-Assisted MIMO OFDM Dual-Function Radar-Communication Based on Mutual Information Optimization

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