Anti-Torpedo Data Fusion and Optimization System (ATDOS)

Award Information
Agency:
Department of Defense
Amount:
$1,477,304.00
Program:
SBIR
Contract:
N00014-12-C-0236
Solitcitation Year:
2003
Solicitation Number:
2003.2
Branch:
Navy
Award Year:
2012
Phase:
Phase II
Agency Tracking Number:
N032-0266a
Solicitation Topic Code:
N03-226
Small Business Information
Daniel H. Wagner, Associates, Incorporat
559 West Uwchlan Avenue Suite 140, Exton, PA, 19341-3013
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
000000000
Principal Investigator
 W. Monach
 Vice President
 (757) 727-7700
 reynolds@va.wagner.com
Business Contact
 W. Monach
Title: Vice President
Phone: (757) 727-7700
Email: GovtMktg@pa.wagner.com
Research Institution
 Stub
Abstract
In this project we will further develop the Anti-Torpedo Data Fusion and Optimization System (ATDOS), which promises significant improvement in the effectiveness of the Torpedo Warning System (TWS) being developed by PMS 415 for Aircraft Carriers and other High Value Large Deck ships. The main principles involved are that: (1) Complex, multi-hypothesis data fusion can be made to support combat systems such as Torpedo Defense at high data rates, using all available sensor data without introducing delays, (2) Sophisticated Bayesian inference techniques can be used in real-time to accurately classify objects, prioritize objects for focused investigation by automated systems (and operators), and provide alerts concerning high interest events such as incoming torpedoes, (3) A non-Gaussian tracker can be utilized for high interest targets (such as torpedoes) to develop real-time probability maps that accurately predict future target location, and (4) Resource allocation algorithms fed by the data fusion system and the Non-Gaussian tracker can be used to improve the performance of Torpedo Defense systems (and other Combat Systems) by optimizing the use of active sonar systems and the placement of Anti-Torpedo Torpedoes

* information listed above is at the time of submission.

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