SBIR-STTR Award

Sensor fusion is projected to play a critical role in the future decision-making process. As a primary component of the decision-making process it can be anticipated that it will become a high priority target for an adversary's Information Warfare (IW) operations. After all, the disruption of the decision-making process is the primary focus of most IW offensive attacks. Attacking or defending the decision-making process or automated sensor fusion systems requires considerable knowledge about how such processes are designed and developed. The primary purpose of this proposed study effort is to assess operational decision-making processes, automated sensor fusion techniques, dissonant information and IW techniques in order to provide a baseline for an advanced Phase II study and prototype sensor fusion system to be able to counter-act IW measures.

The intelligence community is hampered in its ability to provide information to a gamut of users. The critical shortfalls are database access, timely data fusion, robust dissemination techniques, and communications bandwidth. This effort will create a dynamic and responsive intelligence architecture to include; multiple database access, support dynamic user profiling through intelligent agents, promote human centric fusion including analyst based intent inferencing and tailored dissemination of harmonized multi-modal intelligence information through smarter dissemination techniques.

Keywords:
Intelligent Agents, Inferencing, Human Centric, Data Fusion, Smart Push, Multiple Database Systems, Knowledge Mangement