Quality of Service Radar Resource Management with Task Dependencies

This paper presents an exact quality of service radar resource management model which considers pairwise dependencies between tasks and is based on mixed-integer programming. This is in contrast to the common approach, which is not able to model any dependencies and hence has to assume independence among the tasks, which is generally an incorrect simplification. We define and implement substitutabilities between radar tasks with regard to their utility. Numerical results demonstrate that in scenarios with substituabilities, the proposed method can achieve a significantly better operational radar performance than a traditional approach, especially in high load situations. Though, a drawback of the added complexity due to considering dependencies is an increased computational runtime in comparison to the common method. Due to implementing dependencies, the method is especially well suited for complex scenarios with many substituabilities among radar tasks that need to be exploited under high task load.