Published October 31, 1997 | Version Published
Book Section - Chapter Open

Space object identification using phase-diverse speckle

  • 1. ROR icon Environmental Research Institute of Michigan
  • 2. ROR icon United States Air Force Research Laboratory

Contributors

Abstract

Space-object identification from ground-based telescopes is challenging because of the degradation in resolution arising from atmospheric turbulence. Phase-diverse speckle is a novel post-detection correction method that can be used to overcome turbulence-induced aberrations for telescopes with or without adaptive optics. We present a simulation study of phase-diverse speckle satellite reconstructions for the Air Force Maui Optical station 1.6-meter telescope. For a given turbulence strength, satellite reconstruction fidelity is evaluated as a function of quality and quantity of data. The credibility of this study is enhanced by reconstructions from actual compensated data collected with the 1.5-meter telescope at the Starfire Optical Range. Consistent details observed across a time series of reconstructions from a portion of a satellite pass enhance the authenticity of these features. We conclude that phase-diverse speckle can restore fine-resolution features not apparent in the raw aberrated images of space objects.

Additional Information

© 1997 Society of Photo-Optical Instrumentation Engineers (SPIE). We acknowledge the efforts of Cassandra Hoye and Sean Frazier of ERIM International, who conducted much of the simulation and real-data computer processing. We also thank Byron Welsh of the Air Force Institute of Technology and Michael Roggemann of the Michigan Technological Institute for providing the simulated satellite rendering and phase aberrations. Finally, we thank Richard Rast of the SOR for providing satellite collection planning and expertise in space-object identification. This research was supported by the U.S. Air Force Phillips Laboratory under two separate contracts. Computing resources for the simulation investigation were provided by the Maui High Performance Computing Center (MHPCC) in conjunction with the AMOS/MHPCC Research and Development Consortium.

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Identifiers

Eprint ID
88288
Resolver ID
CaltechAUTHORS:20180725-160852201

Funding

U.S. Air Force Phillips Laboratory

Dates

Created
2018-07-30
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Updated
2021-11-16
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Caltech Custom Metadata

Series Name
Proceedings of SPIE
Series Volume or Issue Number
3170