Weighting Scheme for the Space Surveillance Network Automated Tasker.

Abstract

The purpose of this research is to find the best weighting scheme in the SPADOC 4C Sensor Tasking Prototype. This software, known as the Prototype Tasker, assigns a tasking to each sensor of the Space Surveillance Network. A tasking is a list of objects in which the sensor needs to gather positional data, called observations. One of the inputs to the Prototype Tasker is a user-definable weighting scheme. The goal is to find the weighting scheme that produces the most efficient taskings. This problem was solved using a Simulated Annealing algorithm. The values in the weighting scheme were the variables of the problem. The objective function was a measure of the goodness of each tasking produced. The Simulated Annealing algorithm was set to vary the weighting scheme and find the one that produces the tasking with the highest objective function. There were four successful executions of the simulated annealing algorithm. Each one produced a different weighting scheme. However, there were noticeable trends in the relative magnitudes of the weights. Also, it was noticed that a slight decrease in the number of observations on the taskings will increase the expected amount of information gathered by the Space Surveillance Network.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1994
Accession Number
ADA289285

Entities

People

  • Beth L. Petrick

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Algorithms
  • Artificial Satellites
  • Command And Control
  • Computations
  • Computer Programming
  • Engineering
  • Equations
  • Linear Programming
  • Mathematical Models
  • Operations Research
  • Probability
  • Probability Density Functions
  • Random Variables
  • Simplex Method
  • Space Objects

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Space
  • Space - Space Objects