Locating an Imaging Radar in Canada for Identifying Spaceborne Objects

Abstract

This research presents a study of the maximal coverage p-median facility location problem as applied to the location of an imaging radar in Canada for imaging spaceborne objects. The classical mathematical formulation of the maximal coverage p-median problem is converted into network-flow with side constraint formulations that are developed using a scaled down version of the imaging radar location problem. Two types of network-flow with side constraint formulations are developed: a network using side constraints that simulates the gains in a generalized network; and a network resembling a multi-commodity flow problem that uses side constraints to force flow along identical arcs. These small formulations are expanded to encompass a case study using 12 candidate radar sites, and 48 satellites divided into three states. SAS/OR PROC NETFLOW was used to solve the network-flow with side constraint formulations. The case study show that potential for both formulations, although the simulated gains formulation encountered singular matrix computational difficulties as a result of the very organized nature of its side constraint matrix. The multi-commodity flow formulation, when combined with equi-distribution of flow constraints, provided solutions for various values of p, the number of facilities to be selected.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1992
Accession Number
ADA258969

Entities

People

  • William G. Schick

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Satellites
  • Canada
  • Case Studies
  • Computational Complexity
  • Computer Programming
  • Elliptical Orbits
  • Flow Network
  • Frequency
  • Geosynchronous Satellites
  • Integer Programming
  • Linear Programming
  • Military Facilities
  • North America
  • Simplex Method
  • Space Surveillance
  • Spreadsheet Software

Readers

  • Operations Research

Technology Areas

  • Space
  • Space - Space Objects