Multi-Sensor Data Fusion System Navy SBIR FY2005.1 Sol No.: Navy SBIR FY2005.1 Topic No.: N05-046 Topic Title: Multi-Sensor Data Fusion System Proposal No.: N051-046-0380 Firm: Daniel H. Wagner, Associates, Incorporated 40 Lloyd Avenue Suite 200 Malvern, Pennsylvania 19355-3091 Contact: W. Monach Phone: (757) 727-7700 Web Site: www.wagner.com Abstract: 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. Benefits: MSDFS will allow us to demonstrate how powerful non-Gaussian resource optimization techniques, combined with Bayesian inferential reasoning, multiple-hypothesis, and non-Gaussian data fusion techniques, can significantly improve the ability of United States forces to conduct Anti-Submarine Warfare (ASW) and torpedo defense missions. Improved data fusion and resource optimization technologies such as these are particularly necessary at a time when the United States is facing a sophisticated threat in difficult littoral environments, such as China and Korea, with reduced resources. More effective detection, classification, localization, and tracking techniques and a much more accurate and complete Situation Assessment (SA) picture will produce more effective operations, conducted at lower risk, resulting in fewer casualties to friendly forces and improved overall United States Navy and Joint Forces effectiveness. Return