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Embedded Training Techniques for Target Discrimination Systems

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00024-10-C-4127
Agency Tracking Number: N083-209-0092
Amount: $1,499,510.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N08-209
Solicitation Number: 2008.3
Solicitation Year: 2008
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-02-04
Award End Date (Contract End Date): 2011-11-08
Small Business Information
13135 Lee Jackson Hwy Suite 220
Fairfax, VA -
United States
DUNS: 140785929
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Bruce Gallemore
 (703) 956-6480
Business Contact
 Linda Leonard
Title: Contracts Manager
Phone: (703) 956-6480
Research Institution

Complex systems such as the AN/SPS-74(V) Periscope Detection Radar automatic target recognition system presents difficult training challenges for enhancing and maintaining operator proficiency. Technical challenges arise from the nature of software automation. The most difficult recognition cases can usually be trained effectively only with actual sensor data. Keeping the proficiency training current is also a challenge. Automation algorithms evolve in time as improvements are developed. System features such as display format and tools also evolve. Hence, the training must evolve at the same pace. 3 Phoenix, Inc. proposes an innovative approach to develop a very lightweight, portable training delivery software infrastructure system that coexists with the tactical software and leverages the tactical software functions as much as possible. This eliminates the need to duplicate or emulate the operational environment on a training platform. The proposed embedded trainer includes a novel Contact Evaluation Assistant function which aids the operator in understanding the decision making processes of the automation software, thus improving the collaboration between operator and automation. The proposed approach will be an innovative training solution that is applicable to any system that implements automated target recognition with operator collaboration.

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

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