Modeling and Analysis of Tactical Installation Protection Missions

Abstract

The security of U.S. military installations is of high interest and operational importance to the U.S. military and allied forces. The Situational Awareness for Surveillance and Interdiction Operations (SASIO) model was developed to simulate the operational tasking of a single Unmanned Aerial Vehicle (UAV) and a ground-based interceptor used for searching, identifying, and intercepting potential hostile targets prior to reaching a military base. This research explores insights for the tactical employment of a UAV and an interceptor to combat potential hostile actions against a predefined area of interest. The design and analysis of experiments are used to create surrogate models that quantify the success rates of interception based on the employment strategies for both the UAV and ground-based interceptor and also characteristics of the mission. The results provide guidance for tactical employment of Blue Force assets as well as alternative means to influence Red force behavior in a beneficial manner.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2010
Accession Number
ADA554288

Entities

People

  • Kenneth L. Byers
  • Rachel T. Johnson
  • Timothy H. Chung

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Computational Science
  • Detection
  • Experimental Design
  • Factorial Design
  • Ground Based
  • Identification
  • Interdiction
  • Military Operations
  • Operations Research
  • Probability
  • Simulations
  • Situational Awareness
  • Surveillance
  • United States
  • Unmanned Aerial Vehicles
  • Vehicles
  • Warfare

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Joint Military Operations and Doctrine.
  • Missile Defense Systems.

Technology Areas

  • Autonomy
  • Autonomy - UAVs