Joint threat assessment with asset profiling and entity Bayes net
Timo Lampinen, Tommi A. Laitinen, Janne Ropponen · International Conference on Information Fusion · 2009
The information load in a command and control task is enormous and is only aggravated in a joint battlespace. There is a constant need for the hierarchical processing of basic sensor data into higher level situation awareness. The purpose of our research project is to enhance situation awareness and decision support within joint C2 systems through a profound hierarchical range of auto-generated real-time and knowledge-based information. In the project, coordinated with the Finnish Air Force HQ, we have implemented and developed several situation and threat assessment (STA) and profiling algorithms within our STA testbed (STATB) with realistic scale scenario simulations. The system consists of algorithms in JDL levels 1–3 for joint situations with airborne, ground, and naval aspects. The entity Bayes nets perform the threat assessment between the adversary forces and friendly assets. Results from the system show that these concepts will provide improved situation awareness and decision support.