Heterogeneous defensive naval weapon assignment to swarming threats in real-time

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Authors
Laird, Christopher L.
Subjects
weapon-target pairing
optimization
battlespace management
decision aid
integer programming
swarming threats
ship defense
Advisors
McLemore, Connor S.
Date of Issue
2016-03
Date
Mar-16
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
This thesis develops an automated decision aid capable of generating defensive engagement profiles for use in naval shipboard defense. It allows the efficient pairing of multiple defensive weapon systems to several incoming threats operating in multiple domains by providing the operator with recommended weapon-target pairings based on current defensive capabilities and threat profiles. The model consists of a pre-processing algorithm and a reward-based mixed-integer programming model that takes as inputs the available defensive weapon system capabilities and incoming target information and outputs a recommended engagement profile. Recommended weapon-target pairings are based on the priority of the threat, the time available to engage it and the probability of successfully countering it. Additionally, the model allows for future planning against threats that may currently be outside the defensive envelopes of the ship, but based on current heading and speed may become available for pairing, thereby allowing the operator to plan future defensive actions. For scenarios involving four defensive weapons and 13 targets, this model produces an optimal engagement profile in approximately two seconds on a general-purpose laptop and has the potential to be continuously run to provide real-time recommendations to the operator.
Type
Thesis
Description
Department
Operations Research
Operations Research
Organization
Identifiers
NPS Report Number
Sponsors
Funder
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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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