Battle Group Stationing Algebraic Modeling System: An Anti-Air Warfare Tactical Decision Aid Methodology.

Abstract

This thesis presents a methodology that could aid the development of effective AAW (Anti-Air Warfare) ship and aircraft screens for AAW commanders at sea. The method employs stochastic discrete-event simulation of detect-to-engage sequences to develop expected leaker values for single platforms versus a common set of threats. A network flow-based stationing algorithm minimizes expected leakers by selecting the best station for each tested platform. The stationing algorithm creates AAW screen recommendations which can be evaluated using a second simulation, which gives expected leakers for a group of AAW platforms against a set of threats. The battle group simulation allows expected leaker comparisons of recommended screens with user-designed formations. Both simulations offer symbol-based graphics options. Direct application of the methodology would lead to a Tactical Decision Aid which could provide assistance in improving a naval battle groups ability to defend itself from air attack. Extensions might prove to be useful in Tactical Ballistic Missile Defense, Joint littoral AAW operations, or in land-based AAW problems. (KAR) P. 2

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1995
Accession Number
ADA296246

Entities

People

  • Donald D. Gabrielson

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Aerial Warfare
  • Aircrafts
  • Algorithms
  • Ballistic Missiles
  • Graphics
  • Platforms
  • Sequences
  • Simulations
  • Tactical Ballistic Missiles
  • Tactical Decision Aids
  • Vehicles
  • Warfare

Readers

  • Computational Modeling and Simulation
  • Naval Mine Countermeasure Systems Development.