On the Optimality of Data Processors for Signal Detection Over a Class of Contaminated Noises.

Abstract

We consider the effect induced on the data processor of a signal detection system when the underlying noise distribution functions are varied about their nominal values. We first consider the detection of a time varying deterministic signal in additive noise, and then extend our results to a more general situation in which the signal possesses a random amplitude. Our results characterize a class of contaminants of an arbitrary nominal distribution over which the data processor can be designed using the nominal distribution, and it is seen, for example, that such a class can contain distribution functions which can differ greatly from the nominal distribution. Keywords include: signal detection, likelihood ratio, and optimal detection.

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Document Details

Document Type
Technical Report
Publication Date
May 30, 1985
Accession Number
ADA160213

Entities

People

  • D. R. Halverson
  • G. L. Wise

Organizations

  • University of Texas at Austin

Tags

DTIC Thesaurus Topics

  • Air Force
  • Detection
  • Detectors
  • Distribution Functions
  • Electrical Engineering
  • Engineering
  • Environmental Pollutants
  • Mathematics
  • Numbers
  • Perturbations
  • Random Variables
  • Real Numbers
  • Scientific Research
  • Signal Detection
  • Statistical Distributions
  • Universities

Fields of Study

  • Engineering

Readers

  • Acoustics.
  • Computational Modeling and Simulation
  • Graph Algorithms and Convex Optimization.