Multi-Sensor Quality of Service Radar Resource Management with Task Dependencies

This paper presents an exact quality of service (QoS)-based radar resource management (RRM) method that manages multiple radar sensors, while also taking task dependencies into account. This contrasts with other approaches that mostly do not consider dependencies and assume independence among the tasks. However, this simplification is generally incorrect. Our method optimizes the tasks' assignment to the radar sensors as well as the selection of the radar control parameters jointly, while also exploiting dependencies between tasks. The problem is formulated and solved as mixed-integer linear programming (MILP) optimization problem. A simulated tracking scenario shows that by exploiting task dependencies in combination with coordinating the task assignments among the sensors, our RRM method can improve the operational performance significantly in comparison to the benchmark algorithms.