Maritime Intelligence, Surveillance, Reconnaissance (ISR) and Space Exploitation

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-02-M-0035
Agency Tracking Number: N01-133-08
Amount: $99,999.00
Phase: Phase I
Program: SBIR
Awards Year: 2002
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
DUNS: 075485425
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 W.Reynolds Monach
 Vice President/Manager
 (757) 727-7700
 reynolds@va.wagner.com
Business Contact
 W. Reynolds Monach
Title: Vice President/Manager
Phone: (757) 727-7700
Email: reynolds@va.wagner.com
Research Institution
N/A
Abstract
"Daniel H. Wagner Associates, Inc. will develop a prototype Non-Gaussian Data Fusion System (NGDFS) that will accurately fuse all of the information available from large numbers of sensors using non-Gaussian and multiple hypothesis techniques along withcomputer resource optimization algorithms and high-performance, inexpensive, hardware to allow this computationally intensive data fusion process to take place in near-real-time. NGDFS will utilize the non-Gaussian tracking information when determiningthe likelihood that a contact is associated with a particular target, and will also produce target tracks that are as high quality as possible given the available data. NGDFS will process data from passive and active acoustic systems used in bothtraditional monostatic and bistatic modes. It will also process data from traditional non-acoustic systems such as radar as well as emerging non-acoustic systems such as wake detectors. We will quantitatively analyze the performance of NGDFS in ourDecision Support System Testbed (DSST), using hundreds of simulated targets and hundreds of simulated acoustic and non-acoustic sensors. This analysis will measure the distance between the NGDFS Situation Awareness (SA) picture and ground truth, usingoperationally oriented and honesty inducing metrics and measure the improvement in data fusion performance as a function of computer resources. The prototype NGDFS will allow us to demonstrate how advanc

* information listed above is at the time of submission.

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