Collaborative Mission Autonomy for Sensor Resource Management (CMA-SRM)

In this proposal, the team of Scientific Systems Company, Inc. (SSCI) and Systems and Technology Research (STR) outline a solution for automated assignment and positioning of sensor resources to dramatically improve the effectiveness of a distributed multi-target tracking system.  In order to operate in a communications-degraded and GPS-denied environment, the proposed system uses an agent-based, decentralized control paradigm, enabling Disruption-Tolerant Track Sharing when communications bandwidth is limited and ownship telemetry can no longer be relied upon.  A FACE-compliant system architecture for the CMA-SRM UOP is illustrated, with key software modules described: a Sensor Geometry Analysis tool to rapidly produce recommendations for candidate sensor positioning strategies, a Sensor Geometry Planner to optimize these recommendations with respect to competing target priorities and mission constraints, and a Disruption-Tolerant Track Sharing tool to help achieve a Nearly Common Operating Picture.  The proposed CMA-SRM behaviors will be adapted and augmented from technologies developed under DARPA programs, including CODE/ACA, SQUAD-X, CDMaST, and CNAV.