Binary Communications Through Noisy, Non-Gaussian Channels

Khaled H. Biyari, William C. Lindsey

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

New and unifying analytical tools are developed and used to evaluate the bit error probability, false alarm and detection probabilities that result when binary information is communicated through a random channel further disturbed by additive white Gaussian noise. The class of channels modeled here are those which envelop the received electric field with an arbitrary space-time complex envelope. The complex Gaussian envelope, being a special case, yields the Rayleigh and Rice fading statistics. Considerable insight into the problem of communicating through a complex non-Gaussian fading channel is obtained by decomposing the performance measures into the sum of two terms, viz., one attributable to the usually assumed complex Gaussian envelope plus a residual performance term expressed as a series expansion in terms of multidimensional Hermite polynomials whose coefficients are the channel quasi-moments. Finally, a numerical example is presented in which the theory is applied to a specific non-Gaussian channel.

Original languageEnglish
Pages (from-to)350-362
Number of pages13
JournalIEEE Transactions on Information Theory
Volume40
Issue number2
DOIs
StatePublished - Mar 1994

Bibliographical note

Funding Information:
Manuscript received March 20, 1990; revised April 30, 1993. This work was supported in part by the King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia, and by LinCom Corporation, Los Angeles, CA 90058 USA. K. H. Biyari is with the Department of Electrical Engineering, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia. W. C. Lindsey is with the Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, CA 90089 USA. IEEE Log Number 9215874.

Keywords

  • Non-Gaussian channels
  • non-Rayleigh fading
  • quasi-moments

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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