Capacity of Mismatched Gaussian Channels.

Abstract

The capacity of the Gaussian channel without feedback, subject to a generalized energy constraint, is determined in an earlier document, In that work, the constraint is given in terms of the covariance of the channel noise process. However, these are many situation where one may wish to determine capacity subject to a constraint determined by a covariance that is different form that of the channel noise. An example is in jamming or countermeasures situations. Channels where the covariance of the noise is the same as that of the constraint will be called matched channels; otherwise, we say that the channel is mismatched (to the constraint). In this paper, the capacity of the mismatched Gaussian channel is determined for two situations; the finite-dimensional channel, and the infinite-dimensional channel with a dimensionality constraint on the space of transmitted signals. Results on the infinite-dimensional mismatched channel without a dimensionality constraint on the signal are given elsewhere. Various special cases of the mismatched channel have been treated previously. The results for the mismatched channel differ significantly from those for the matched channel. A discussion of these differences follows the proof of the main result.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1983
Accession Number
ADA134982

Entities

People

  • C. R. Baker

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Channel Capacity
  • Channel Models
  • Covariance
  • Eigenvalues
  • Eigenvectors
  • Feedback
  • Gaussian Channels
  • Gaussian Processes
  • Hilbert Space
  • Information Theory
  • New York
  • North Carolina
  • Numbers
  • Probability
  • Real Numbers
  • Sequences
  • Statistics

Fields of Study

  • Engineering

Readers

  • Linear Algebra
  • Radar Systems Engineering.
  • Theoretical Analysis.

Technology Areas

  • Space