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Ground Target Tracking and Identification System (GTIS)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: F30602-03-C-0150
Agency Tracking Number: F031-0785
Amount: $97,551.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2003
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
40 Lloyd Avenue, Suite 200
Malvern, PA 19355
United States
DUNS: 075485425
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 W. Reynolds Monach
 Vice President
 (757) 727-7700
 reynolds@va.wagner.com
Business Contact
 W. Reynolds Monach
Title: Vice President
Phone: (757) 727-7700
Email: reynolds@va.wagner.com
Research Institution
N/A
Abstract

Daniel H. Wagner Associates, Inc. will develop a Ground Target Tracking and Identification System (GTIS) for fusing all available data using Bayesian inferential reasoning, multiple hypothesis association, and non-Gaussian tracking techniques. In Phase Iof this project we will show how such a system for processing data from large numbers of diverse Ground Moving Target Indicator (GMTI), Signals Intelligence (SIGINT), Imagery Intelligence (IMINT), Measurement and Signature Intelligence (MASINT), and HumanIntelligence (HUMINT) sensors and sources can be developed, and demonstrate its feasibility and effectiveness using demonstration software and simulated (or real-world) data. GTIS will use its fused output to produce an accurate and complete SA picture,easily used and interpreted at all command levels, that will include estimates of the past, current, and future locations of targets of interest and estimates concerning their classification/ID/intentions. Such a data fusion capability is especiallyimportant in urban, mountainous, and forested areas, where contact on the targets, even with a large number of sensors, will be intermittent. The prototype GTIS will allow us to demonstrate how powerful Bayesian inferential reasoning, multiple-hypothesis,and non-Gaussian data fusion techniques can significantly improve the ability of United States forces to track and target ground targets. Improved correlation and tracking technologies such as these are particularly necessary at a time when the UnitedStates is facing sophisticated ground threats such as terrorists in difficult environments, such as the Middle East and Korea, with reduced resources.

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

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