Optical Phase Estimation from Integrated Samples of the Heterodyned Wavefront.

Abstract

A method for using integrating detectors to estimate the phase of an optical wavefront is investigated. The phase and amplitude are assumed to vary slowly compared to the integration time and the integrated samples are shown to be corrupted by white gaussian noise. A maximum a-posteriori nonlinear Kalman filter is derived and simulated for both constant and random walk phase processes. The performance of the filter is compared to its Cramer-Rao lower bound and a first order linearized phase-locked loop (PLL). The filter never performs a great deal better than the PLL, but it can be implemented in a low bandwidth system whereas the PLL assumes a wideband system. The local oscillator is initially assumed to be stabilized in frequency and amplitude, and later a frequency shift is introduced. The filter manages to acquire and track the phase in a high carrier-to-noise ratio (CNR) environment although it does not estimate the frequency shift well. At 30 db CNR, the phase is estimated within about 0.02 radians, whereas the frequency shift estimation error is on the order of 500 kHz for frequecy shift of 2MHz. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1980
Accession Number
ADA100821

Entities

People

  • Martin B. Mark

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Charge Coupled Devices
  • Detectors
  • Differential Equations
  • Doppler Effect
  • Equations
  • Estimators
  • Frequency
  • Frequency Shift
  • Gaussian Noise
  • Kalman Filtering
  • Kalman Filters
  • Local Oscillators
  • Mathematical Filters
  • Random Variables
  • Random Walk
  • Two Dimensional

Fields of Study

  • Engineering
  • Physics

Readers

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  • Image Processing and Computer Vision.
  • Positioning, Navigation, and Timing (PNT) Technology.