NOISE IN WAVEFRONT-RECONSTRUCTION IMAGING, WITH APPLICATION TO IMAGING OPTICAL RADARS.

Abstract

A fundamental limitation to the quality of wavefront-reconstruction images is noise generated by the granular structure of the recording medium. The signal-to-noise ratios that can be achieved in wavefront-reconstruction imaging are considered, with the predictions based on the checkerboard and overlapping circular-grain models of the recording medium. When the object consists of a multitude of resolvable point sources, the signal-to-noise ratio is found to be proportional to the space-bandwidth product of the recording system; when the object is a diffuse surface, the signal-to-noise ratio is found to be independent of that space-bandwidth product. It is shown that the quantum limit to signal-to-noise ratio can be approached only for a judicious choice of reference exposure and for a detector free of other classical noise sources. Finally, it is shown that wavefront-reconstruction imaging can offer significant advantages in an imaging optical radar, particularly in noisy environments. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1966
Accession Number
AD0803908

Entities

People

  • Joseph W. Goodman

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Bandwidth
  • Detectors
  • Electromagnetic Wave Detectors
  • Environment
  • Laser Radar
  • Optical Detectors
  • Recording Systems
  • Warning Systems
  • Wavefronts

Fields of Study

  • Physics

Readers

  • Optical Physics and Photonics.
  • Phased Array Antenna Design.
  • Radar Systems Engineering.

Technology Areas

  • Quantum Computing
  • Space
  • Space - Space Objects