Robust Modeling & Simulation to Support Medium Displacement Unmanned Surface Vehicle (MDUSV) Mission Set Development
Loading...
Authors
Paulo, Eugene P.
Beery, Paul T.
Subjects
unmanned systems
unmanned surface vessels
MDUSV
DMO
operational analysis
unmanned surface vessels
MDUSV
DMO
operational analysis
Advisors
Date of Issue
2019-10-10
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
As the U.S. Navy continues the development of Medium Displacement Unmanned Surface Vehicles (MDUSV), a doctrinal shift of the surface fleet necessitates examining potential manned-unmanned teaming mission sets within the construct of Distributed Maritime Operations (DMO). Utilizing systems engineering for architectural development, discrete-event simulation, and analysis, this study evaluates MDUSV performance of an intelligence, surveillance, reconnaissance, and targeting mission in support of a 2–3 ship Adaptive Force Package’s (AFP) over-the-horizon surface strike. The results indicate that there is a large benefit associated with utilizing passive sensors on MDUSVs in lieu of an active radar and that the magnitude of this benefit increases when lofting the passive sensors on towed airborne arrays. In this study, extensions to MDUSV communications and operating ranges, in some configurations, led to detections of the enemy further from friendly manned vessels, but decreased the survivability and lethality of the main body when these ranges eclipsed the lowest ranged surface-strike weapons in the inventory. Additionally, while overall effectiveness increased with an offensive jammer on MDUSV, defensive countermeasures provided no discernable improvement to the AFP’s performance. One recommendation from our study is to focus future related research on allowing for EMCON policy execution and manned-unmanned teaming.
Type
Report
Description
NPS NRP Executive Summary
Series/Report No
Department
Identifiers
NPS Report Number
Sponsors
N9 - Warfare Systems
Funding
This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp
Chief of Naval Operations (CNO)
Chief of Naval Operations (CNO)
Format
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.