An Empirical Evaluation of Five Circular Error Probable Estimation Techniques and a Method for Improving Them

Abstract

This study compared five CEP estimation techniques under the assumption that the crossrange and downrange miss distances of the sample data follow a bivariate normal distribution. The analysis determined the sensitivities of these models to changes in sample size, bias, correlation, and ellipticity in terms of three measures of effectiveness: Mean relative error (RE), variance of RE, and mean squared error (MSE) of RE. In general, it was found that sample size was the most significant parameter in determining the best CEP method. Mean RE provided a 'strong' distinction between estimators, while variance and MSE provided 'weak' distinctions between estimators. An attempt to improve one of the better estimation techniques using least squares regression proved quite successful.... Circular error probable, CEP.

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Document Details

Document Type
Technical Report
Publication Date
Mar 10, 1993
Accession Number
ADA266528

Entities

People

  • William L. Tongue

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Circular Error Probable
  • Computational Science
  • Computer Programs
  • Computers
  • Data Science
  • Databases
  • Estimators
  • Factor Analysis
  • Information Processing
  • Information Science
  • Intercontinental Ballistic Missiles
  • Measures Of Effectiveness
  • Regression Analysis
  • Statistical Algorithms
  • Test And Evaluation

Readers

  • Regression Analysis.