Joint Beamforming and Reflection Design for RIS-assisted ISAC Systems
arXiv:2203.00265 · doi:10.23919/EUSIPCO55093.2022.9909807
Abstract
In this paper, we investigate the potential of employing reconfigurable intelligent surface (RIS) in integrated sensing and communication (ISAC) systems. In particular, we consider an RIS-assisted ISAC system in which a multi-antenna base station (BS) simultaneously performs multi-user multi-input single-output (MU-MISO) communication and target detection. We aim to jointly design the transmit beamforming and receive filter of the BS, and the reflection coefficients of the RIS to maximize the sum-rate of the communication users, while satisfying a worst-case radar output signal-to-noise ratio (SNR), the transmit power constraint, and the unit modulus property of the reflecting coefficients. An efficient iterative algorithm based on fractional programming (FP), majorization-minimization (MM), and alternative direction method of multipliers (ADMM) is developed to solve the complicated non-convex problem. Simulation results verify the advantage of the proposed RIS-assisted ISAC scheme and the effectiveness of the developed algorithm.
accepted by EUSIPCO2022, 5 pages, 3 figures
References in corpus (2)
Cited by in corpus (4)
- Joint Transmit Waveform and Passive Beamforming Design for RIS-Aided DFRC Systems
- SNR/CRB-Constrained Joint Beamforming and Reflection Designs for RIS-ISAC Systems
- Location Sensing and Beamforming Design for IRS-Enabled Multi-User ISAC Systems
- Joint Beamforming Optimization for Active STAR-RIS-Assisted ISAC Systems