Towards Situation Awareness in Integrated Air Defence Using Clustering and Case Based Reasoning

  • Authors:
  • Manish Gupta;Sumant Mukherjee

  • Affiliations:
  • Institute for Systems Studies and Analyses, Defence Research & Development Organisation, Delhi, India 110 054;Institute for Systems Studies and Analyses, Defence Research & Development Organisation, Delhi, India 110 054

  • Venue:
  • PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
  • Year:
  • 2009

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Abstract

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.