Game-Theoretic Distributed Sensor Management for RSO Detection, Classification and Tracking
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AbstractIn this proposal, Intelligent Fusion Technology, Inc (IFT) proposes a novel Game-Theoretic Distributed Sensor Management tool to meet the special requirements of the Air Force for RSO detection, Classification and Tracking. The proposed tool contains i) distributed active learning and distributed agent negotiation game to solve the distributed sensor management problem, ii) distributed tracking and fusion system which considers maneuver detection, collision alert, joint space object identification and state estimation as well as data fusion of multiple sensors, iii) FPGA-aided on-board data processing, and iv) hardware in the loop open source standard testbed and visualization system. The proposed work enables i) dealing with goal uncertainty and ambiguity as well as complex sensor management problems, ii) maneuver detection and inference of the intent as well as prediction the future behaviors of space objects, iii) distinguishment of unattended and intentional collision in the early stage and guiding the sensor management with improved resource utilization, and iv) distributed determination of orbit, tracking of multiple space object and information fusion of heterogeneous sensors with consideration of unreliable ISL communications. The proposed work is built on our experience game-theoretic sensor management, space situational awareness, and satellite communication as well as our recent ISR testbed work.
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