Ground Attack Data Fusion and Optimization System (GADFOS)

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,999.00
Award Year:
2002
Program:
SBIR
Phase:
Phase I
Contract:
F30602-02-C-0066
Agency Tracking Number:
021IF-0705
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Daniel H. Wagner, Assoc., Inc.
40 Lloyd Avenue, Suite 200, Malvern, PA, 19355
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
075485425
Principal Investigator:
W. Reynolds Monach
Vice President
(757) 727-7700
reynolds@va.wagner.com
Business Contact:
W. Reynolds Monach
Vice President
(757) 727-7700
reynolds@va.wagner.com
Research Institution:
n/a
Abstract
"Daniel H. Wagner Associates, Inc. will develop a prototype Ground Attack Data Fusion and Optimization System (GADFOS) that will accurately fuse all of the information available from large numbers of sensors using non-Gaussian and multiple hypothesistechniques along with computer resource optimization algorithms and high-performance, inexpensive hardware to allow this computationally intensive data fusion process to take place in near-real-time. GADFOS will utilize the non-Gaussian trackinginformation when determining the likelihood that a contact is associated with a particular target, will produce target tracks that are as high quality as possible given the available data, and will also optimize the placement and operation of surveillancesensors. We will quantitatively analyze the performance of GADFOS in our Decision Support System Testbed (DSST), using hundreds of simulated targets and hundreds of simulated sensors. This analysis will measure the distance between the GADFOS SituationAwareness (SA) picture and ground truth using operationally oriented and honesty inducing metrics. It will also quantify the performance difference between GADFOS generated surveillance plans and a surveillance plans generated using current operatingprocedures. The prototype GADFOS will allow us to demonstrate how advanced data fusion and optimization techniques can significantly improve the ability of United States forces to conduct search and sur

* information listed above is at the time of submission.

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