Multi-Sensor Data Fusion System

In this project Wagner Associates will develop a DD(X) Multi-Sensor Data Fusion System (MSDFS). MSDFS will incorporate non-Gaussian resource optimization techniques that utilize a geographical Situation Assessment (SA) picture generated by fusing all available data using Bayesian inferential reasoning, non-Gaussian registration, multiple hypothesis association, Gaussian sum tracking, and non-Gaussian tracking techniques. These techniques will allow MSDFS to optimize the use of available DD(X) operator time (and passive sensors) by providing alerts concerning possible submarines or torpedoes. In Phase I of this project we will also demonstrate MSDFS's feasibility and effectiveness using demonstration software and simulated (or real-world, if available) data, and in particular it's ability to provide accurate fused data to the DD(X) operator without increasing his or her workload, and to provide fused results within one second of initial classification by individual own-ship acoustic sensors. In addition, we will work with the DD(X) contractors to determine how MSDFS can be incorporated within the DD(X) Combat System architecture and to develop a Phase II approach and schedule with discrete milestones for incorporating MSDFS algorithms and modules into the DD(X) Combat System.