A Cyclostationary feature detector

Scott Enserink, Douglas Cochran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

130 Scopus citations


Cyclostationary models for communications signals have been shown in recent years to offer many advantages over stationary models. Stationary models are adequate in many situations, but they cause important features of the signal to be overlooked. One such important feature is the correlation between spectral components that many signals exhibit. Cyclostationary models allow this spectral correlation to be exploited. This paper presents a signal detector that exploits spectral correlation to determine the presence or absence of a cyclostationary signal in noise. The detector's probability of false alarm is analytically derived. Computer simulations verify that the analytical derivation is correct. The detector's receiver operating characteristic curves are determined from the simulation data and the analytical expression for the probability of false alarm.

Original languageEnglish (US)
Title of host publicationConference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)0818664053
StatePublished - 1994
Event28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994 - Pacific Grove, United States
Duration: Oct 31 1994Nov 2 1994

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393


Conference28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
Country/TerritoryUnited States
CityPacific Grove

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications


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