Joint Transmit Beamforming for Multiuser MIMO Communication and MIMO Radar
Xiang Liu, Tianyao Huang, Nir Shlezinger, Yimin Liu, Jie Zhou, and, Yonina C. Eldar

TL;DR
This paper introduces a joint transmit beamforming approach for dual-function MIMO radar and multiuser MIMO communication systems, optimizing spectrum sharing and beamforming performance.
Contribution
It proposes a novel joint beamforming model that enhances radar performance while ensuring communication quality, with a tight convex relaxation for efficient optimization.
Findings
The optimization problem can be relaxed into a convex one and solved efficiently.
The proposed method improves radar performance compared to previous spectrum sharing approaches.
The dual-function system approaches radar-only performance under communication constraints.
Abstract
Future wireless communication systems are expected to explore spectral bands typically used by radar systems, in order to overcome spectrum congestion of traditional communication bands. Since in many applications radar and communication share the same platform, spectrum sharing can be facilitated by joint design as dual function radar-communications system. In this paper, we propose a joint transmit beamforming model for a dual-function multiple-input-multiple-output (MIMO) radar and multiuser MIMO communication transmitter sharing the spectrum and an antenna array. The proposed dual-function system transmits the weighted sum of independent radar waveform and communication symbols, forming multiple beams towards the radar targets and the communication receivers, respectively. The design of the weighting coefficients is formulated as an optimization problem whose objective is the…
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