Problems of Identification.

Abstract

Several (I in number) observers cooperate to identify the member of a population of items (J in number) transmitting. The observers' measurements of basic item-identifying (known) parameters are error-prone; errors are frequently non-Gaussian (gross-error-prone). Various methods are introduced and studied for combining the observers; observations so as to achieve as high a probability of correct identification as possible. Linear combinations of observations are shown to be less than satisfactory in the environment described. Continuation and generalization of the work is in progress. Keywords: robust estimation in a restricted parameter space; Cauchy and contaminated normal measurement errors; maximum likelihood and Bayes estimates; the discrimination problem.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1986
Accession Number
ADA178555

Entities

People

  • A. Meldrum
  • Donald P. Gaver Jr.
  • I. O'muircheartaigh
  • Patricia A. Jacobs

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Coefficients
  • Estimators
  • Hit Probabilities
  • Identification
  • Identities
  • Measurement
  • National Security
  • Normal Distribution
  • Observation
  • Observers
  • Operations Research
  • Probability
  • Security
  • Simulations
  • Standards
  • Transmitting

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Networking
  • Statistical inference.

Technology Areas

  • Space
  • Space - Space Objects