The Center's E2E efforts focus on the development of a fully integrated MDA sensor suite linked to decision-support systems used by the U.S. Coast Guard (USCG), Customs and Border Protection (CBP) and Navy. We are implementing our layered technology in two sites: NY/NJ harbor and the Caribbean, and also demonstrating the portability of our approach by participating in relevant exercises. The MDA sensor feeds include passive acoustics, HF radar and satellite.
Applications for this technology include vessel tracking and illicit vessel and underwater threat detection, classification and tracking. Coast Guard MDA will be significantly improved by the layered technology, whose sophistication exceeds the MDA assets currently available. CBP will have increased intelligence on localization of possible illicit vessels so that they can optimize the deployment of airborne assets. The impact of these technologies is already becoming manifest. Real-time multi-static vessel detections are now being generated in the segment of the HF Radar network surrounding New York Harbor and are now being delivered to the Navy’s Open Mongoose data fusion engine for MDA. Current satellite work has demonstrated skills in detecting go-fast and other small vessels in the Caribbean Basin. Real-time Hudson River underwater acoustics data has created high interest in Coast Guard Sector NY, and was successfully fed into a command center in a demonstration for illicit vessel detection near the U.S. border. In the Caribbean it is anticipated that illicit vessel detection will be improved by the flow of acoustic data.