Classification of digital modulation schemes in multipath environments using higher order statistics

Meena Sreekantamurthy, Dimitrie C. Popescu, Ravindra P. Joshi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Advancements in digital signal communications have brought a large variety of modulation schemes for transmitting signals. Consequently, reliable detection of the modulation scheme embedded in the received signal has become an important issue in communications. In this research study, a digital signal modulation classifier has been developed using higher order statistical algorithms to detect the modulation scheme in the signals received. The algorithm to identify the modulation schemes is based on the eighth order cumulants extracted from the signals. Noisy channel characteristics of the wireless system was taken into consideration in the design of the algorithm to allow detection of signals with Additive White Gaussian Noise (AWGN) and multipath Rayleigh fading and multipath Ricean fading channels at various levels of Signal to Noise Ratios (SNRs). This paper describes the developed digital signal modulation classification algorithm, and its demonstration on several types of communication signals. The robustness and capabilities of the modulation classification developed are established for reliable detection of the communication signals.

Original languageEnglish
Title of host publicationSoutheastCon 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509022465
StatePublished - Jul 7 2016
EventSoutheastCon 2016 - Norfolk, United States
Duration: Mar 30 2016Apr 3 2016

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
ISSN (Print)0734-7502


ConferenceSoutheastCon 2016
Country/TerritoryUnited States


  • AWGN
  • automatic classification
  • cumulants
  • digital modulation
  • higher order statistics
  • multipath


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