Ground Testing of Prototype Hardware and Processing Algorithms for a Wide Area Space Surveillance System (WASSS)

Abstract

We report the results of observations made at Magdalena Ridge Observatory using the prototype Wide Area Space Surveillance System (WASSS) camera, which has a 4 x 60 deg field-of-view, < 0.05 deg resolution, a 2.8 cm(expn 2) aperture, and the ability to view within 4 deg of the sun. A single camera pointed at the GEO belt provided a continuous nightlong record of the intensity and location of more than 50 GEO objects detected within the camera s 60 deg field-of-view, with a detection sensitivity similar to the camera s shot noise limit of m(sub v)=13.7. Performance is anticipated to scale with aperture area, allowing the detection of dimmer objects with larger-aperture cameras. The sensitivity of the system depends on multi-frame averaging and a Principal Component Analysis based image processing algorithm that filters out space objects based on their different angular velocities from those of celestial objects. Results are presented for a full night of viewing on October 16, 2012. Close to 100 space objects were detected, of which ~85 were identified.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2013
Accession Number
ADA591374

Entities

People

  • Daniel O. Fulcoly
  • James Mclean
  • Jeremy J. Murray-krezan
  • Neil Goldstein
  • Phan D. Dao
  • Rainer A. Dressler
  • Robert Shroll
  • Steven C. Richtsmeier

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Change Detection
  • Data Processing
  • Data Science
  • Detection
  • Detectors
  • Factor Analysis
  • Image Processing
  • Information Processing
  • Information Science
  • Low Earth Orbits
  • Shot Noise
  • Space Objects
  • Space Surveillance
  • Spacecraft
  • Surveillance

Fields of Study

  • Physics

Readers

  • Astronomy/Astrophysics
  • Geotechnical Engineering.
  • Image Processing and Computer Vision.

Technology Areas

  • Space
  • Space - Space Objects