Defeating Emplaced Improvised Explosive Devices (IED) Using Fusion Algorithms

IEDs are primary insurgent weapons that have caused almost half the U.S. casualties in Iraq. To date, our response has included improved vehicle armor, persistent surveillance, and electronic warfare to defeat Radio-Controlled IEDs. The CREW Duke system developed by SRC has been a phenomenal success in jamming RC-IEDs and has saved countless lives with over 12,000 units delivered. RF signal characteristics and vehicle positions are now recorded for post-mission analysis. These logs provide a sampling of the RF environment and history of U.S. convoy movements. Long-term GMTI radar detections of moving targets are also being recorded to support manual forensic analysis. TSC and SRC propose to fuse diverse data from GMTI radar and CREW Duke logs to predict IED attacks so that convoys can be warned to avoid high risk areas or change their operating procedures. In Phase I, TSC will enhance our existing anomalous movement detection algorithms to discover where insurgents may have emplaced IEDs. Our subcontractor, SRC, will help identify the best combination of information derived from CREW Duke logs, GMTI radar data processing outputs and other geospatial / intelligence sources to predict IED attacks. In Phase II, our team will mature and further evaluate this system concept.