Undersea Sensing

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Authors
Green, John M.
Johnson, Bonnie
Bones, Michelle
Bunch, Leonard
Fisher, Kenneth
Stone, Alex
Mara, Stephanie
Subjects
data fusion architecture
ASW
mine warfare
underwater sensors
product line
Advisors
Date of Issue
2018-04
Date
Presented April 10-12, 2018
Period of Performance: 10/01/2017-09/30/2018
Publisher
Monterey, California: Naval Postgraduate School
Language
en_US
Abstract
Project Summary: The primary goal of the research was to develop a reference architecture for undersea sensing based on product line principles using the tenets of the Joint Data Labs (JDL) data fusion model. The reference architecture work was completed as a capstone report (Bones, 2018). Specifically, the capstone report examined the concept of combining mobile and stationary underwater sensors into a coherent, distributive network. The project presented a baseline architecture for a data fusion system that facilitates the near real-time exchange of information from disparate sources. This architecture, in turn, provides a basis for further system development, and can guide future studies of relevant data/information fusion concepts and technologies for applications to anti-submarine warfare (ASW) and mine warfare. The study used the unique approach of inverse systems engineering to design an architecture based on the ASW kill chain, and the probability of success in detecting, classifying and tracking underwater objects. The resulting probability of success was then measured against the probability of success of a human ASW operator to determine the adequacy of design. ExtendSim software was used o model and simulate the architecture to validate functional capability and improved performance over the human ASW operator. The resulting architecture can facilitate the successful integration of passive acoustic sensor information with intelligence products and timely distribution of fused data across manned and unmanned platforms. The architecture also allows for future growth into active acoustic sources, environmental data sources, non-traditional ASW sources such as radar, and electronic support measures (ESM).
Type
Report
Description
NPS NRP Executive Summary
Department
Systems Engineering (SE)
Organization
Naval Research Program
Identifiers
NPS Report Number
NPS-18-N124-E
Sponsors
N-9
Funder
NPS-18-N124-E
Format
6 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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