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Mission Intelligence Sensor Management and Data Fusion Automation & Collaboration Tool (MISMADFACT) for Dense Target Environments

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N66001-10-M-5102
Agency Tracking Number: N101-101-0556
Amount: $99,888.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N101-101
Solicitation Number: 2010.1
Timeline
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-09-13
Award End Date (Contract End Date): 2011-03-13
Small Business Information
377 South Nevada Street
Carson City, NV 89703
United States
DUNS: 131070141
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 alice wilson
 treasurer
 (949) 366-6554
 jwilson@jovesci.com
Business Contact
 Alice Wilson
Title: Treasurer
Phone: (949) 366-6554
Email: jwilson@jovesci.com
Research Institution
N/A
Abstract

The AquaQuIPS multi-INT, ship track data fusion engine has shown exceptional performance during numerous Navy Exercises, including Trident Warrior 08 and Trident Warrior 09. AquaQuIPS finished as a Top Ten technology and has been chosen for an experiment to interdict self powered semi submersible (SPSS) contacts in TW-10. AquaQuIPS has been integrated into a large NAVSEA Program of Record five years ago called Undersea Warfare Decision Support System based on its performance relative to that of other data fusion processors. Using this real time experience and excellent performance, a design concept for a Mission Level Modeling and Simulation Processor is proposed for six levels of processing: sensor inputs: net sensor GRIDs, single sensor trackers; data fusion engine modeling in dense target environments; abnormal behavior detection; and strategic and tactical courses of action decisions. The Mission Intelligence Sensor Management and Data Fusion Automation & Collaboration Tool (MISMADFACT) design is described for each of the six levels, and a new Simulated Annealing algorithm is introduced for difficult optimization problems. A unique approach for abnormal behavior detection is described based on Fleet operator inputs from TW-08 and TW-09. The Option Task focuses on the unique data fusion issues of introducing an acoustic sensor.

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

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