SBIR-STTR Award

The Network-Centric Warfare/ForceNet mandate that `warriors, sensors, command and control, platforms, and weapons be integrated into a networked, distributed combat force' drives the need to develop a cross-platform integration of Electronic Warfare (EW) assets. This dictate drives the development of an Electronics Combat Decision Support System (ECDSS) to aid flight crews and EW experts in the decision making processes. To provide the real-time response to environmental changes, the GBL Team ECDSS will link proven Artificial Intelligence Technology reasoning `Agents' into a unified system that utilizes expert knowledge in specific domains to augment crew efficiency and involvement in the ForceNet. The ECDSS will enable a single operator to manage and generate jamming assignments and exploit the ability to share response coverage between on and off-board assets. The ECDSS will coordinate mission goals by performing critical timing of asset utilization to exploit jamming techniques that are unworkable without the use of Intelligent agents. The ECDSS agents will monitor environmental cues and provide weapons system coordination by increasing the automation of the time critical task of developing HARM targeting packages.

Keywords:
Artificial Intelligent Technology (Ait), Multi-Agent System (Mas), Forcenet, Coabs Grid, Electronic Warfare, Automate, Electronic Combat Decision Support System (Ecdss), Pro

The Electronic Combat Decision Support System (ECDSS) Phase II effort will refine and demonstrate critical components associated with electronic warfare decision aids and electronic combat automation in the EA-18G. The work to be performed in the phase II effort includes refinement and requirements derivation, design and demonstration of basic system components, and maturation of research related to electronic combat decision aid and automation concepts. The initial system design includes EA-18G and JMPS Mission Planning Environment (MPE) interface integration. The Phase II research effort will employ Intelligent Agent based architecture layered on a CoABS grid framework that includes airborne MPE components, the inclusion of refined jamming management control algorithms, and candidate aircrew-interface decision aid advisories. GBL will utilize ECDSS in conjunction with GBL’s Cooperative Research and Development Agreement (CRADA) with Naval Air Warfare Center (NAWC) Point Mugu to provide aircraft system integration and test environments, aircrew / subject-matter-expert interface development, evaluation of potential decision aids, and library modifications to support the new Intelligent Agent Algorithms. Application of the GBL ECDSS spans the AEA mission on many potential EW platforms.

Keywords:
Agent, Robot, Electronic Attack, Artificial Intelligence, Genetic, Network Centric, Heuristic, Mission Plan