Automated Data Fusion and Situation Assessment in Space Systems

M. Hanson and P. Gonsalves

Proceedings of the FLorida Artificial Intelligence and Research Society (FLAIRS) Conference, St. Augustine, FL (May, 2003)

Spacecraft are key components of military operations and everyday life. To achieve space situation awareness, human operators must monitor large numbers of parameters. During off-nominal conditions (e.g. severe space weather storm or onboard anomaly), it is difficult to cohesively monitor the data to develop an accurate tactical picture. To aid operators, we have developed a prototype Multi-Agent Satellite System for Information Fusion (MASSIF) for event detection and characterization. This system integrates a fuzzy logic system for semantic data processing and a Bayesian belief network system for multi-source data fusion and situation assessment. This paper describes initial research results.

Example Performance for Detecting and Isolating Satellite Events

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