Generalized Coherence Based Cyclic Frequency Estimation

Songsri Sirianunpiboon, Stephen D. Howard, Douglas Cochran

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


The use of generalized coherence to measure correlation among multiple subspaces has been studied as an approach for detection of cyclostationarity in a recent series of papers by the authors. The detectors obtained were demonstrated in simulations to offer superior performance to other established cyclostationarity detectors in application scenarios representing cognitive radio multi-channel passive surveillance. This paper describes an approach to cyclic frequency estimation based on similar generalized coherence ideas. The performance of such an estimator is demonstrated and compared against three prominent cyclic frequency estimators in multiple simulation experiments involving signals with different modulation types.

Original languageEnglish (US)
Title of host publication56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9781665459068
StatePublished - 2022
Event56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022 - Virtual, Online, United States
Duration: Oct 31 2022Nov 2 2022

Publication series

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


Conference56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022
Country/TerritoryUnited States
CityVirtual, Online


  • cyclic correlation
  • Cyclic frequency
  • cyclostationarity
  • generalized coherence
  • spectral correlation

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications


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