Towards Situation Awareness in Integrated Air Defence Using Clustering and Case Based Reasoning
For integrated air defence in network centric environment, it is required to process information (collected from multiple sensors) for enhancing Situation Awareness (SA) at the command and control nodes. SA is the process of building comprehensive pictures of the battlespace to the decision maker who can further utilized it for threat evaluation. A novel approach for enhancing situation awareness in integrated air defence perspective via Clustering and Case Based Reasoning (CBR) has been proposed in this paper. Clustering is applied on track data generated from Level I of multi sensor data fusion to aggregate entities in the target area. CBR further provide information about air package type, size and purpose of the aggregated entities using cluster attribute records. The effectiveness of the proposed approach has been illustrated on simulation data generated to depict typical integrated defence scenario.
KeywordsNetwork Centric Warfare Integrated Air Defence Situation Awareness Clustering Case Based Reasoning
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