Managing Space Situational Awareness Using the Space Surveillance Network

Abstract

The large number of space objects compared to the limited sensors available to track them results in measurements occurring infrequently. It is necessary to create some form of utility metric to determine which sensors should observe which objects at a particular instant of time. This report examines the use of utility metrics from two forms of expected information gain for each object sensor pair as well as the approximated stability of the estimation errors in order to work towards a tasking strategy. The investigation of this coupling demonstrates that the use of more accurate filters leads to better overall estimates, not only due to the advantages within the estimation methods, but also from the improvement in tasking decisions due to selection of these estimators.

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Document Details

Document Type
Technical Report
Publication Date
Nov 14, 2013
Accession Number
ADA594829

Entities

People

  • David B. Spencer
  • Patrick S. Williams

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Artificial Satellites
  • Computational Complexity
  • Coordinate Systems
  • Differential Equations
  • Gaussian Distributions
  • Information Science
  • Kalman Filters
  • Mathematical Filters
  • Random Variables
  • Space Debris
  • Space Objects
  • Space Situational Awareness
  • Space Surveillance
  • Spacecraft
  • Statistical Analysis
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Systems Analysis and Design

Technology Areas

  • Space
  • Space - Space Objects