Enabling Netted Sensor Fusion for Anti-Submarine Warfare in Uncertain and Variable Environments Navy SBIR FY2010.2 Sol No.: Navy SBIR FY2010.2 Topic No.: N102-145 Topic Title: Enabling Netted Sensor Fusion for Anti-Submarine Warfare in Uncertain and Variable Environments Proposal No.: N102-145-0800 Firm: Daniel H. Wagner, Associates, Incorporated 559 West Uwchlan Avenue Suite 140 Exton, Pennsylvania 19341-3013 Contact: Richard Samms Phone: (757) 727-7700 Web Site: www.wagner.com Abstract: Daniel H. Wagner Associates proposes to develop a tool set for object location and classification, and sensor data geo-registration for full distributed platform data fusion and multi-attribute ASW scene generation. The process of accurately locating and identifying tracks and objects using multiple sensors requires that the individual sensor data be properly geo-registered prior to the data fusion, classification, and location refinement processes to avoid false classifications and misidentified threats. Proposed is an innovative method to register multiple sensor data into a high probability scene using a stochastic multi-hypothesis pairwise registration algorithm. The registered data is then post processed using a multi-hypothesis tracker to produce the most likely scenarios. Our approach to advanced geo-registration algorithms to fuse data from multiple platform sensors includes individual sensor performance, multiple attribute, and maximum likelihood optimal assignment. Once a common ASW scene is created we will classify the track with an inferential reasoning engine used to estimate target ID is based on a context dependent Bayesian Network. Benefits: Aside from the sponsor and ASW applications, other US military programs that would benefit from the proposed effort are those that require multi-sensor data fusion including Joint STARS SPO, CECOM, and other GMTI/EO system developers who could use the algorithm and Measures of Performance improvements we will have demonstrated in Phase I. Current DoD systems, and their planned upgrades, as well as emerging systems and systems still in research and development would also benefit. Commercial application is in the geo-registration of satellite imagery and other forms GIS data where accurate data registration and multiple attributes are available. Return