Intelligent Track Analysis on Navy Platforms Using Soft Computing
نویسندگان
چکیده
We have developed and continue to enhance automated intelligent software that performs the tasks and decision making which now occurs by the personnel manning watch stations in the Combat Direction Center (CDC) and Task Force Combat Center (TFCC), on-board aircraft carriers and other Navy ships. Integrating information from various sources in a combat station is a complex task; disparate sources of information from radars, sonars, and other sensors are obtained by watch station surveillance guards, who must interpret it and relay it up the chain of command. The Intelligent Identification Software Module (IISM) alleviates some of the burden placed on battle commanders by automating tasks like management of historical data, disambiguating multiple track targets, assessing threat levels of targets, and rejecting improbable data. We have knowledge engineered current CDC/TFCC experts and designed IISM using C++ and SimBionic, a visual AI development tool. IISM uses multiple soft computing techniques including Baysian inference and fuzzy reasoning. IISM is interfaced to the Advanced Battle Station (ABS) for use on many US Navy sea vessels.
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