Pulse Radar ISAC: Interference Control and A Generalized Weighted-MMSE Algorithm

In this paper, we consider a pulse-radar-based MIMO ISAC system working in a multi-user multi-target scenario. A weighted sum rate maximization problem is formulated under the constraint of guaranteed sensing performance. In this scenario, the sensing interference comes from the reflection of communication users (CUs), In order to achieve the satisfactory sensing performance, we first design the sensing beamforming to eliminate the strong interference reflections comes from the reflected radar pulses. Then we introduce a generalized Weighted-MMSE algorithm applicable for jointly handle the multi-user interference and the reflected communication signals. It is proved that the generalized algorithm has the same magnitude of complexity as the original algorithm. Finally, simulation results show that achieving the sensing function only have minor impact on the communication performance.