Resolution of Closely Spaced Optical Targets Using Maximum Likelihood Estimator and Maximum Entropy Method: A Comparison Study

Abstract

The capabilities of the maximum likelihood estimator (MLE) and the maximum entropy method (MEM) in resolving closely spaced optical point targets are compared using Monte Carlo simulation results for three different examples. It is found that the MEM is very sensitive to the noise and that the MLE performs better than the MEM in all examples.

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Document Details

Document Type
Technical Report
Publication Date
Mar 03, 1981
Accession Number
ADA100477

Entities

People

  • Ming-jer Tsai

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Atmospheric Motion
  • Ballistic Missiles
  • Computer Programs
  • Data Science
  • Detection
  • Detectors
  • Equations
  • Estimators
  • Information Science
  • Monte Carlo Method
  • Noise
  • Numbers
  • Optical Detectors
  • Simulations
  • Standards

Readers

  • Integrated Circuit Design and Technology.
  • Radar Systems Engineering.
  • Regression Analysis.

Technology Areas

  • Space
  • Space - Space Objects