Joint Transmit Waveform and Passive Beamforming Design for RIS-Aided DFRC Systems

By Rang Liu, Ming Li, Yang Liu, Qing-He Wu, Qian Liu. IEEE Journal on Selected Topics in Signal Processing, 2021

333 citations recorded by the source corpus.

Reconfigurable intelligent surface (RIS) is a promising technology for 6 G networks owing to its superior ability to enhance the capacity and coverage of wireless communications by smartly creating a favorable propagation environment. In this paper, we investigate the potential of employing RIS in dual-functional radar-communication (DFRC) systems for improving both radar sensing and communication functionalities. In particular, we consider a RIS-assisted DFRC system in which the multi-antenna base station (BS) simultaneously performs both multi-input multi-output (MIMO) radar sensing and multi-user multi-input single-output (MU-MISO) communications using the same hardware platform. We aim to jointly design the dual-functional transmit waveform and the passive beamforming of RIS to maximize the radar output signal-to-interference-plus-noise ratio (SINR) achieved by space-time adaptive processing (STAP), while satisfying the communication quality-of-service (QoS) requirement under one of three metrics, the constant-modulus constraint on the transmit waveform, and the unit-modulus constraint of RIS reflecting coefficients. An efficient algorithm framework based on the alternative direction method of multipliers (ADMM) and majorization-minimization (MM) methods is developed to solve the complicated non-convex optimization problem. Simulation results verify the advancement of the proposed RIS-assisted DRFC scheme and the effectiveness of the developed ADMM-MM-based joint transmit waveform and passive beamforming design algorithm.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering, Surgery

View Paper: https://www.semanticscholar.org/paper/bf4b86d879b49190c112852416e13eb18fcebdaa

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In Aerospace Engineering

1. Jie Xu
2. H. Hua
3. Tony X. Han
4. Rui Zhang
5. Yong Zeng

In Electrical and Electronic Engineering

1. Jie Xu
2. H. Hua
3. Tony X. Han
4. Rui Zhang

Citations in the corpus

• Optimal Transmit Beamforming for Integrated Sensing and Communication (2021, positive): “Recently, IRS or reconfigurable intelligent surface (RIS) has been recognized as a promising technique to enhance the communication performances by reconfiguring the radio propagation environments [56], and also improve the sensing performance by providing additional sensing paths [57], [58], [59].”