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Clutter Removal and Substantially Improved Submarine and Mine Detection Through Affordable

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-05-M-0287
Agency Tracking Number: N054-025-0216
Amount: $69,998.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N05-T025
Solicitation Number: N/A
Timeline
Solicitation Year: 2005
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-09-12
Award End Date (Contract End Date): 2006-07-12
Small Business Information
1081 Camino del Rio South, Suite 209
San Diego, CA 92108
United States
DUNS: 031243913
HUBZone Owned: Yes
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Robert Jannarone
 President
 (619) 299-5139
 bobjannarone@brainlike.com
Business Contact
 John Tyler Tatum
Title: Executive Vice President
Phone: (619) 299-5139
Email: tylertatum@brainlike.com
Research Institution
 GEORGIA INSTITUTE OF TECHNOLOGY
 Ian Ferguson
 
Bunger Henry Building, Rm 192
Atlanta, GA 30332
United States

 (404) 385-2885
 Nonprofit College or University
Abstract

Magnetic detection of submarines, mines and other objects of interest has continued to improve in both sensitivity of the sensors and reduction in the complexity and cost of sensor devices. Sensors alone, regardless of how far science is able to improve their abilities, will not solve the problem. The Navy will have to find processing solutions capable of quickly and cost-effectively highlighting objects of interest from magnetic sensor information. Brainlike Surveillance Research, Inc, proposes to develop a novel estimation system that adapts sensor data for improved target identification -- automatically, efficiently, and adaptively. Output from the system shows anomalies clearly, removes background clutter effectively, adapts to changing conditions automatically, and improves results from complementary classifiers substantially. The proposed system will run a novel, efficient kernel algorithm that learns baseline parameters and correlations automatically and continuously. The kernel operates efficiently, to the point of being deployable on remote sensor arrays. Along with the proposed system, Brainlike offers novel analysis methods that focus on increasing target identification rates, reducing false alarms, and automating the analysis process, resulting in reduced costly incidents, false alarm costs, and staffing requirements.

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

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