Space-based infrared sensor scheduling with high uncertainty: Issues and challenges

The space-based infrared system (SBIRS) is the most advanced missile-defense system. However, available infrared sensors in the system are scarce, and their tracking abilities are still very limited. To improve the integrated power, SBIRS needs an approach to scheduling online infrared staring sensors. This paper focuses on the new problem and its characteristics. Compared with other similar problems, the proposed problem has scarce resources, sudden missions, an uncertain environment and complex constraints, so it shows many unique characteristics, such as strong real-time, high uncertainty and extreme complexity. This causes that the routine formulation of other similar problems may be unsuitable for the new problem. Hence, we have to face many challenges in modeling, solving and simulating for the proposed problem. Finally, the idea of our solution is presented. Simulation results confirm the effectiveness of our solution.