Pre-launch Optical Characteristics of the Oculus-ASR Nanosatellite for Attitude and Shape Recognition Experiments

Abstract

Most all objects in Earth orbit, when imaged using all but the largest ground-based telescopes, appear as unresolved point sources of light. Although these unresolved images are featureless it may be possible to determine parameters related to an object s attitude and/or rotation rate by analyzing the spectral and temporal content of reflected sunlight. For instance a faceted rotating object may produce a periodic cycle of bright glints or a spectrally distinct surface coating may be detectable using a spectrometer. The Oculus-ASR is a 50-kg-class nanosatellite specifically designed to exercise and validate techniques for determining an orbiting object s pose using unresolved ground imagery. The nanosatellite has been optically characterized in an AFRL ground facility to determine reflective signatures that can be expected on orbit. Once on orbit, the Oculus-ASR will be monitored by ground-based telescopes and these observations will be reconciled against truth attitude data recorded during various maneuvers. This paper reports on the basic design of the spacecraft, summarizes the concept of operations, and presents results of the pre-launch optical ground characterization.

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Document Details

Document Type
Technical Report
Publication Date
Dec 02, 2011
Accession Number
ADA565192

Entities

People

  • Kelly Feirstine
  • Lyon B. King
  • Philip Hohnstadt

Organizations

  • Michigan Technological University

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Artificial Satellites
  • Coordinate Systems
  • Earth Orbits
  • Far Field
  • Ground Based
  • Materials
  • Measurement
  • Observatories
  • Optical Properties
  • Optical Signatures
  • Orbits
  • Predictive Modeling
  • Solar Panels
  • Space Objects
  • Space Situational Awareness

Fields of Study

  • Physics

Readers

  • Aerospace Propulsion Engineering.
  • Astronomy and Astrophysics.
  • Image Processing and Computer Vision.

Technology Areas

  • Space
  • Space - Satellites
  • Space - Space Objects