Aerospace & Defense Technology - May 2022 - 29

Tech Briefs
(Sonoran) task force against an allied task
force, including the USS Benfold (DDG65)
and RSS Endurance (LS-207). The
results of the real exercise included casualties
sustained by the aforementioned
ships. These casualties were due to lack of
situational awareness and lack of offensive
firepower. These issues presented an
opportunity and motivation for UUV
injection into the simulation to augment
sensors and firepower. Afterward, the process
of identifying and establishing the
operational requirements and the constraints
of the new capabilities ensued.
The new simulated UUV design must
be able to provide additional offense and
reconnaissance capabilities. Measuring
how well the UUVs performed and what
attributes to vary led to the development
of the measures of effectiveness (MOE)
and measures of performance (MOP).
These measures helped direct the formulation
of the design of experiments (DOE),
which guided the experimentation and
assessment of the notional UUVs.
The MOEs included detection effectiveness
and enemy attrition. The performance
factors (attributes) of interest consisted
of UUV speed, number of UUVs
(UUV fleet composition), and sonar type
(active or passive). The DOE involved the
testing of these factors at three different
values (levels). The combination of the
factors at varying levels led to an experimentation
with 18 design points.
The JTLS-GO model is an event-driven
wargaming simulation designed by
Rolands and Associates that serves to test
multi-sided joint campaigns and operations.
The program tests several layers of
warfare including political, strategic,
operational, and tactical levels. Although
JTLS-GO is useful for simulating engagements,
its functionality is to train headquarters
staff to command and control
units more efficiently. Thus, testing futuristic
concepts using JTLS-GO alone is not
feasible as it requires significant resources.
To capitalize the human response and
results from CG18, the original JTLS-GO
simulation program was transformed into
an automated computer-aided wargaming
(CAW) simulation with the help of
the NPS Simulation Experiments and Efficient
Designs (SEED) center. This transformation
permitted multiple, repetitive
simulations of future capabilities for staAerospace
& Defense Technology, May 2022
tistical analysis. In all, 540 simulation
runs were made, utilizing 810 hours of
computer time.
This work was done by Lieutenant Herman
Wong for the Naval Postgraduate School.
For more information, download the
Technical Support Package (free white
paper) at mobilityengineeringtech.com/
tsp under the Unmanned Vehicles &
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ADT Tech Briefs 0522_1.indd 29
Intro
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https://www.mobilityengineeringtech.com/component/content/article/ae/pub/briefs/45801 http://info.hotims.com/82321-786 http://info.hotims.com/82321-786 http://info.hotims.com/82321-830

Aerospace & Defense Technology - May 2022

Table of Contents for the Digital Edition of Aerospace & Defense Technology - May 2022

Aerospace & Defense Technology - May 2022 - Intro
Aerospace & Defense Technology - May 2022 - Cov 4
Aerospace & Defense Technology - May 2022 - Cov 1
Aerospace & Defense Technology - May 2022 - Cov 2
Aerospace & Defense Technology - May 2022 - 1
Aerospace & Defense Technology - May 2022 - 2
Aerospace & Defense Technology - May 2022 - 3
Aerospace & Defense Technology - May 2022 - 4
Aerospace & Defense Technology - May 2022 - 5
Aerospace & Defense Technology - May 2022 - 6
Aerospace & Defense Technology - May 2022 - 7
Aerospace & Defense Technology - May 2022 - 8
Aerospace & Defense Technology - May 2022 - 9
Aerospace & Defense Technology - May 2022 - 10
Aerospace & Defense Technology - May 2022 - 11
Aerospace & Defense Technology - May 2022 - 12
Aerospace & Defense Technology - May 2022 - 13
Aerospace & Defense Technology - May 2022 - 14
Aerospace & Defense Technology - May 2022 - 15
Aerospace & Defense Technology - May 2022 - 16
Aerospace & Defense Technology - May 2022 - 17
Aerospace & Defense Technology - May 2022 - 18
Aerospace & Defense Technology - May 2022 - 19
Aerospace & Defense Technology - May 2022 - 20
Aerospace & Defense Technology - May 2022 - 21
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Aerospace & Defense Technology - May 2022 - 28
Aerospace & Defense Technology - May 2022 - 29
Aerospace & Defense Technology - May 2022 - 30
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Aerospace & Defense Technology - May 2022 - 40
Aerospace & Defense Technology - May 2022 - 41
Aerospace & Defense Technology - May 2022 - 42
Aerospace & Defense Technology - May 2022 - 43
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Aerospace & Defense Technology - May 2022 - 45
Aerospace & Defense Technology - May 2022 - 46
Aerospace & Defense Technology - May 2022 - 47
Aerospace & Defense Technology - May 2022 - 48
Aerospace & Defense Technology - May 2022 - Cov 3
Aerospace & Defense Technology - May 2022 - Cov 4
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https://www.nxtbook.com/smg/techbriefs/22ADT09
https://www.nxtbook.com/smg/techbriefs/22ADT08
https://www.nxtbook.com/smg/techbriefs/22ADT06
https://www.nxtbook.com/smg/techbriefs/22ADT05
https://www.nxtbook.com/smg/techbriefs/22ADT04
https://www.nxtbook.com/smg/techbriefs/22ADT02
https://www.nxtbook.com/smg/techbriefs/21ADT12
https://www.nxtbook.com/smg/techbriefs/21ADT10
https://www.nxtbook.com/smg/techbriefs/21ADT09
https://www.nxtbook.com/smg/techbriefs/21ADT08
https://www.nxtbook.com/smg/techbriefs/21ADT06
https://www.nxtbook.com/smg/techbriefs/21ADT05
https://www.nxtbook.com/smg/techbriefs/21ADT04
https://www.nxtbook.com/smg/techbriefs/21ADT02
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