Coordinated Asset Allocation and Route Planning for Anti-Submarine Warfare

Existing Anti-Submarine Warfare (ASW) mission planners can specify patrol regions for available sensor platforms and provide detailed, coordinated search tracks for each platform. However, most of the planners have not considered any real-time sensor information feedback during optimization and cannot support dynamic re-planning. To better support ASW in a dynamic and uncertain environment, Quantum Leap Innovations, Inc. (QLI) will collaborate with Professor Stephen Smith at Carnegie Mellon University (CMU) and Science Applications International Corporation (SAIC) to develop a novel two stage sequential mission planning framework for coordinated asset allocation and route planning. In Phase I, we will leverage our extensive experience in various, successful mission planning applications for manned/unmanned systems and investigate approximate algorithms for real-time asset allocation and route planning in ASW. We will develop a simulation testbed for multiple manned/unmanned platforms and evaluate the effectiveness of coordinated search tactics using simulations. In the Phase I option, we will study many actual factors for multi-sensor coordinated search in ASW, such as variable size of sensing field of view, environment-dependent sensor models and communication connectivity.