Phase Estimation Techniques for Active Optics Systems Used in Real-Time Wavefront Reconstruction.

Abstract

Two analyses ae presented, which involve estimation of constant phase from single detector and detector array measurements. The single detector analysis is carried out in a discrete mode to obtain algorithms based on photon counting. The method used follows the Maximum A Posteriori and Maximum Likelihood estimation theories. Both white Gaussian noise and Poisson Shot noise limited conditions are considered. Simulation results show that signal-to-noise ratios of 17 dB or better are needed to produce adequate estimates. Estimate improvement is obtained as more photon counts are performed. In this sense, photon counting seems to be inferior to current measuring, but the error variance is only 1.65 dB larger in the worst case, where three photon counts are performed. An extension of the single detector analysis is made, using only the Gaussian noise assumption, to derive an algorithm that jointly estimates the phase distribution over an optical wavefront. The procedure is based on a parametric dependence between the measurements performed by adjacent detectors, and on the a priori knowledge available through a covariance matrix. An algorithm for processing continuous waveform measurements is developed, but no computer simulation is included due to difficulties encountered in solving the feedback system equations.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1980
Accession Number
ADA100800

Entities

People

  • Fernando Pinzon Rojas

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Cyber
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Active Optics
  • Air Force
  • Air Force Facilities
  • Algorithms
  • Closed Loop Systems
  • Computational Science
  • Computer Simulations
  • Computers
  • Data Science
  • Detectors
  • Gaussian Noise
  • Maximum Likelihood Estimation
  • Optics
  • Random Variables
  • Shot Noise
  • Simulations
  • Statistics

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.
  • Statistical inference.