CBRN Sensor and Sensor Netting Algorithms

Award Information
Agency: Department of Defense
Branch: Office for Chemical and Biological Defense
Contract: W911SR-10-C-0048
Agency Tracking Number: C2-0324
Amount: $749,999.00
Phase: Phase II
Program: SBIR
Awards Year: 2010
Solitcitation Year: 2009
Solitcitation Topic Code: CBD09-110
Solitcitation Number: 2009.1
Small Business Information
Torch Technologies, Inc.
4035 Chris Drive, Suite C, Huntsville, AL, -
Duns: 122515708
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Jim Schwaiger
 Principal Investigator
 (256) 319-6041
Business Contact
 Kenneth Lones
Title: Director of Contracts
Phone: (256) 319-6019
Email: kenneth.lones@torchtechnologies.com
Research Institution
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.

* information listed above is at the time of submission.

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