Simulation Environment in Support of Non-Cooperative Target Recognition (NCTR) Algorithm Development

Award Information
Agency:
Department of Defense
Branch:
Navy
Amount:
$70,180.00
Award Year:
2002
Program:
SBIR
Phase:
Phase I
Contract:
N00178-02-C-2013
Agency Tracking Number:
N01-119-05
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Technology Service Corp.
11400 West Olympic Blvd., Suite 300, Los Angeles, CA, 90064
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
053885604
Principal Investigator
 George LeFurjah
 Principal Investigator
 (540) 663-9227
 glefurjah@tsc.com
Business Contact
 Richard Briones
Title: Vice President, Ops
Phone: (301) 565-2970
Email: rbriones@tsc.com
Research Institution
N/A
Abstract
"Navy operational emphasis continues to shift to the complex littoral scenarios associated with expeditionary warfare, strike operations, and coastal TBMD. Rapid and accurate target classification and identification become crucial to maintaining effectiveship self-defense posture in the presence of greater diversity of threats and higher density non-military targets. The larger the number of features that can be compared with the stored threat library, the higher the level of confidence with which a giventrack can be associated with a specific threat. Therefore, data from multiple sensors with complementary characteristics, such as radar and IR, affords greater potential for improved NCTR than data from either sensor alone. Because live target testing isprohibitively expensive, offers little control, and is not reproducible, most of the algorithm development will have to be done using simulation. The focus of the proposed effort is to design and develop a laboratory/workstation that combines detailedradar and IRST models, consistent radar and IR target characteristics and propagation and clutter environments, a six degrees of freedom target trajectory model, and a user-friendly graphical user interface. With this tool NCTR algorithm development basedupon IR, radar, and fused IR/radar sensor data can proceed in a cost-effective and efficient manner This research and development effort could lead to a dual IR/Radar sensor NCTR developm

* information listed above is at the time of submission.

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