Multi-User Interference Exploiting and Waveform Designing With PAPR Constraint for Radar and Communication Coexistence System

Aiming at the issue of diminished spectrum-sharing capability in radar and communication coexistence (RCC) systems resulting from multi-user interference (MUI), a method for enhancing system performance through interference elimination and radar waveform design is proposed. Firstly, symbol-level constructive interference (CI) is introduced to eliminate MUI and the system sensing performance is improved by considering the peak-to-average power ratio (PAPR) constraints of radar waveform. Subsequently, an optimization problem is formulated to maximize the radar signal-to-interference-plus-noise ratio (SINR) while meeting the requirement of CI, radar PAPR, and power budget. To address the system optimization problem, an alternative optimization augmented Lagrange multiplier(AO-ALM) algorithm is proposed. Then, the received filter and beamforming vector are solved by the minimum variance distortionless response (MVDR) and numerical tools. For the system waveform, the problem is transformed into a convex optimization problem by introducing auxiliary variables, and the augmented Lagrange multiplier method is used to update the waveform. Finally, the simulation results demonstrate that the proposed method effectively eliminates MUI, ensuring reliable system sensing performance and improving spectrum-sharing ability.