Self-Interference Cancellation Based on Symbol-Level Precoding for Dual-Function Radar and Communication Systems

This paper proposes a symbol-level precoding (SLP) design for dual-function radar-communication (DFRC) systems to suppress self-interference (SI) leakage power, thereby reducing its impact on radar detection performance. In addition, the SLP design also needs to meet the quality of service (QoS) requirements of communication users, as well as specific radar waveform patterns. The optimization problem based on the above requirements is highly nonlinear and its dimension increases with the number of antennas and the number of transmitted symbols, so it is difficult to solve. To solve this problem, this paper proposes a two-layer iterative optimization algorithm based on the penalized dual decomposition (PDD) and block coordinate descent (BCD). The simulation results show that the proposed SLP design can effectively reduce the SI leakage power, thereby improving the detection performance of the DFRC systems.