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Anti-submarine warfare search models

Authors: ben Yoash, Roey;

Anti-submarine warfare search models

Abstract

Stealth and high endurance make submarines ideally suited to a variety of missions, and finding ways to detect, track, and, if necessary, acquire and attack them has long been a topic of research. In this thesis, we study effective ways to operate an MH-60R helicopter in anti-submarine warfare (ASW) missions. Following an initial cue given by an external source indicating the presence of a possible submarine target, a helicopter is sent to detect, follow, acquire, and attack the submarine. To perform its mission, the helicopter can carry various payloads of sensors and torpedoes. The first part of the thesis focuses on a helicopter equipped with dipping sonar and develops a model that optimizes the operation of the helicopter and measures its effectiveness. We analyze the effect of the different input parameters, such as helicopter speed, submarine speed, sensor detection radius, and travel time to the point of detection on the optimal dipping pattern and the probability of mission success, and show that arrival time is the most important parameter. We also address the optimization problem associated with the payload of a helicopter on an ASW mission and determine the best mix of fuel, sensors, and weapons for a helicopter on such a mission.

Approved for public release; distribution is unlimited.

http://archive.org/details/antisubmarinewar1094550460

Captain, Israel Defense Forces

Outstanding Thesis

Keywords

search and detection, Anti-submarine warfare

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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