Simulating Detection System Output Data for the Development of Decision Support Systems

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-02-C-0169
Agency Tracking Number: N011-1161
Amount: $449,912.00
Phase: Phase II
Program: SBIR
Awards Year: 2002
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
1060 East 100 South Suite 202, Salt Lake City, UT, 84102
DUNS: 956802581
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Jerome Soller
 President/CEO
 (801) 322-0101
 soller@cognitech-ut.com
Business Contact
 Jerome Soller
Title: President/CEO
Phone: (801) 322-0101
Email: soller@cognitech-ut.com
Research Institution
N/A
Abstract
"Accurately simulating sensor data is necessary to develop meaningful and effective decision support systems. This process requires the inclusion of all phenomena that significantly influence the data after propagation through the detection chain. Phase Ideveloped a prototype framework, methodology and simulation environment for propagating noise and uncertainty through components of a general detection system. This Phase II proposal develops a generalized architecture, framework, and methodology, usingChemical and Biological (CB) detection as the example problem domain. This proposal enhances the fidelity of the simulated data reported to decision support systems by improving and extending the simulation environment's support of atmospheric models,infrared standoff CB detector models, uncertainty measures, model performance metrics, and time-synchronization and nesting of simulations within an integrated software and hardware framework. This framework provides distributed access to various forms ofdata and associated models. Proposed enhancement options are: developing a novel scene generator that will generate realistic inputs to active standoff detectors and simulations; and developing a test system, based on the scene generator, to test andevaluate these detection systems. This research will produce an overarching software and hardware framework that supports decision support system development and the full life cycle of de

* Information listed above is at the time of submission. *

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