Enhanced situation awareness using random particles
2005 (English)In: Proceedingsof the Tenth International Command and Control Research and TechnologySymposium (ICCRTS), 2005Conference paper (Refereed)
Modern command and control systems present the current view of the situationthrough a situation picture that is being built up from fused sensor data. However,merely presenting a comprehensible description of the situation does not give thecommander complete awareness of the development of a situation. This articlepresents a generic tool for prediction of forthcoming troop movements. The techniqueis similar to particle filtering, a method used for approximate inference indynamic Bayesian networks.The prediction tool has been implemented and installed into an existent electronicwarfare system. The tool makes use of the system’s geographic informationsystem to extract geographic properties and calculate troop velocities in the terrainwhich is, in turn, being used for the construction of the tool’s transition model.Finally, the result is presented together with the situation picture.The prediction tool has been evaluated in field tests performed in cooperationwith the Swedish Armed Forces in an exercise in Sweden during the spring of2005. Officers and operators of the electronic warfare system were interviewedand exposed to the tool. Reactions were positive and prediction of future troopmovements was considered to be interesting for short-term tactical command andcontrol.
Place, publisher, year, edition, pages
IdentifiersURN: urn:nbn:se:kth:diva-5927OAI: oai:DiVA.org:kth-5927DiVA: diva2:10465
Tenth International Command and Control Research and TechnologySymposium (ICCRTS)
QC 201008252006-06-022006-06-022010-08-25Bibliographically approved