Minimax Decision Problems for Gaussian Test Channels in the Presence of Unknown Jamming Noise.

Abstract

In this thesis, we study solutions to a class of communication problems which involve transmission of a sequence of input variables over noisy channels under a given power constraint and in the presence of an intelligent jammer. In the next few sections, precise formulations of the problems will be presented. Generally, either the saddle-point solutions or, (if it does not exist) the worst-case solutions by both min.max, and max.min. approaches will be obtained for each problem.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1984
Accession Number
ADA161443

Entities

People

  • Ying Wah Wu

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Coders
  • Coding
  • Communication Channels
  • Communication Systems
  • Decoding
  • Eigenvalues
  • Estimators
  • Gaussian Noise
  • Gaussian Processes
  • Illinois
  • Noise
  • Notation
  • Plastic Explosives
  • Probability
  • Probability Distributions
  • Random Variables

Readers

  • Operations Research
  • Radio communications and signal processing.