Coordinated Hyperspectral Imaging Nano-Satellite Networks for Space Situational Awareness

Abstract

This study has examined how to inspect Resident Space Objects (RSOs) using other Observer satellites, all of which are in fixed orbits. Optimal methods for determining which Observers should characterize each RSO at every sample time have been developed. The resulting inter-satellite measurements are typically at a sufficient range that an affine model of the imaging is highly accurate, so affine transformations have also been studied. Once these measurements are taken, they must then be transmitted to Earth through a communications network, thus congestion control and routing algorithms especially suited for this Space Situational Awareness task have been derived.

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Document Details

Document Type
Technical Report
Publication Date
Jan 13, 2011
Accession Number
ADA564981

Entities

People

  • Farhad Jafari
  • John Mcinroy
  • Margareta Stefanovic
  • Suresh Muknahallipatna

Organizations

  • University of Wyoming

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Satellites
  • Control Systems
  • Geosynchronous Orbits
  • Geosynchronous Satellites
  • Integer Programming
  • Linear Programming
  • Low Earth Orbits
  • Nanosatellites
  • Network Protocols
  • Observers
  • Packet Loss
  • Satellite Networks
  • Situational Awareness
  • Space Objects
  • Space Situational Awareness
  • Spacecraft

Readers

  • Computer Networking
  • Image Processing and Computer Vision.
  • Space Exploration and Orbital Mechanics.

Technology Areas

  • Space
  • Space - Satellites
  • Space - Space Objects