Non-Gaussian Data Fusion (NGDFS)

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$0.00
Award Year:
2002
Program:
SBIR
Phase:
Phase I
Contract:
N00014-02-C-0527
Agency Tracking Number:
N012-0198
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
Minority Owned:
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 full-scale prototype Non-Gaussian Data Fusion System (NGDFS) that will accurately fuse all of the information available from multiple ASW and SUW sensors. NGDFS will utilize advanced multiple hypothesistechniques incorporating interacting multiple model (IMM) and hypothesis merging algorithms. NGDFS will process data from passive and active acoustic systems used in both traditional monostatic and bistatic modes. It will also process data fromtraditional non-acoustic systems such as radar. NGDFS will also have the capability to utilize non-Gaussian trackers along with computer resource optimization algorithms and high-performance, inexpensive, hardware to allow this computationally intensivedata fusion process to take place in near-real-time. NGDFS will be able to utilize this non-Gaussian tracking information when determining the likelihood that a contact is associated with a particular target. We will quantitatively analyze theperformance of NGDFS in our Decision Support System Testbed (DSST), using both real-world ASW/SUW data as well as simulated data containing many targets and both acoustic and non-acoustic sensors. This analysis will measure the distance between the NGDFSSituation Awareness (SA) picture and ground truth, using operationally oriented and honesty inducing metrics.BENEFITS: The prototype NGDFS will allow us to demonstrate how advanced data fusion techniques c

* information listed above is at the time of submission.

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