Worst Case Encoder-Decoder Policies for a Communication System in the Presence of an Unknown Probabilistic Jammer

Abstract

States of nature or observed data are often stochastically modelled as Gaussian random variables. At times it is desirable to transmit this information from a source to a destination with minimal distortion. Complicating this objective is the possible presence of an adversary attempting to disrupt this communication. In this report, solutions are provided to a class of minimax and maximin decision problems, which involve the transmission of a Gaussian random variable over a communications channel corrupted by both additive Gaussian noise and probabilistic jamming noise. The jamming noise is termed probabilistic in the sense that with nonzero probability 1-P, the jamming noise is prevented from corrupting the channel. We shall seek to obtain optimal linear encoder-decoder policies which minimize given quadratic distortion measures.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1988
Accession Number
ADA198244

Entities

People

  • David M. Cascio

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Additives (Chemicals)
  • Classification
  • Coders
  • Coding
  • Communication Systems
  • Decoding
  • Distortion
  • Equations
  • Markov Processes
  • Noise
  • Notation
  • Probability
  • Probability Distributions
  • Random Variables
  • Stochastic Processes
  • Universities

Fields of Study

  • Computer science

Readers

  • Operations Research
  • Phased Array Antenna Design.
  • Statistical inference.