CBRN Sensor and Sensor Netting Algorithms

information) During Phase I the Torch Technologies developed, demonstrated, and assessed the feasibility of an innovative, real-time multi-layered CW sensor data fusion network capability supporting advanced standoff detection and early warning against CB threats. Torch merged two significant technologies that we developed for the Department of Defense: 1) the ACRES CW multi-sensor data fusion tool and 2) real-time sensor networking modules from the CERES sensor fusion client developed for the Missile Defense Agency. This new real-time, network-based sensor fusion tool is called CENSE (Cloud state Estimation in a Networked Sensor Environment). The CENSE data fusion architecture provides a holistic real-time network-based data fusion approach with the following attributes: - utilization of non-traditional (non-CB) sensor and database information to augment data from traditional CB sensor assets; - utilization of the data fusion engine to support key decisions with regards to sensor resource management - inclusion of advanced cloud transport/dispersion models to handle many event types; - provision of local and network distributed 2-D and 3-D agent cloud data visualization products augmenting the situational awareness of CB warfare and Command Post officers The proposed work plan focuses on proving the feasibility of CENSE in a prototype tactical sensor architecture via extensive experimentation and data collections.