Allocation Heuristics for High-Altitude Long-Endurance UAV Image Intelligence Platforms

摘要

It is important to establish an early warning system using, for instance, an airborne platform such as a high altitude long endurance (HALE) unmanned aerial vehicle (UAV) to address security issues, such as threats of a missile strike by a militant neighbor on a friendly country's territories. The problem we investigate deals with an imagery intelligence sensor allocation schedule for HALE UAVs operating adjacent to a dynamic and anti-access area denial environment to maximize the situational awareness of the decision makers. We introduce an efficient heuristic method, the one-stage look-ahead procedure, which is combined with a rolling horizon scheme to keep up with a rapid operational tempo.