Robust Beamforming for DFRC Systems in Complex Environments

This paper investigates the problem of robust beamforming design for dual-function radar-communication (DFRC) systems in complex environments where there exist multiple targets, signal-dependent interferences, imperfect knowledge of the interferences and communication channel state information (CSI). By taking these aspects into account, a robust design is devised via minimizing the total transmit power under the individual SINR constraints on the radar receiver and communication users. An iterative algorithm is developed to optimize the transmit beamformer and radar receive filter. Specifically, the receive filter is first obtained with the aid of the generalized eigenvalue decomposition, then the transmit beamformer is optimized by leveraging the semidefinite relaxation (SDR) technique and Bernstein-type inequality. Numerical simulations are conducted to demonstrate the effectiveness and robustness of the proposed design.