Automated Site Selection of Air Defense Missile Batteries

Abstract

Determining optimum locations for a network of Patriot and Hawk missile batteries is currently a time-consuming, man-power intensive task that has to be frequently repeated whenever missiles are deployed to protect allied forces. This paper presents an automated method for siting a network of missile batteries and is currently being implemented. An optimum solution will be computed that satisfies the constraints of this problem. These constraints include (1) restrictions on location imposed by probability-of-kill templates, (2) requirements for road access to missile sites, (3) requirements on potential sites related to soil strength, flatness, minimum area, etc, (4) line-of-sight requirements for both both communications and radar detection and (5) a requirement to have no holes in the defense along the front line of the defended area. The Hybrid Knowledge Base (HKB), currently being implemented by Nerode at Cornell University and Subrahmanian at the University of Maryland, provides the formal mechanism for computing an optimized solution to siting a network of missile batteries. HKB does this by using a uniform framework for integrating logical constraints and numerical constraints (which may be non-linear). The HKB is expected to be useful for solving a wide range of problems in the domain of automated terrain reasoning.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1994
Accession Number
ADA277960

Entities

People

  • John Benton
  • V. S. Subrahmanian

Organizations

  • Army Geospatial Center

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Air Defense
  • Artificial Intelligence
  • Classification
  • Computer Science
  • Databases
  • Forests
  • Image Processing
  • Maryland
  • Real Numbers
  • Security
  • Simulations
  • Site Selection
  • Sites
  • Trees (Data Structures)
  • Universities
  • Vegetation

Readers

  • Computer Vision.
  • Missile Defense Systems.
  • Operations Research