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Automatic modulation classification using polynomial classifiers

  • American University of Sharjah

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

11 Scopus citations

Abstract

In this paper, a new automatic modulation classification system using a polynomial classifier is proposed. The feature set used in the proposed system is comprised of second, fourth and sixth higher order cumulants of the received signal. The polynomial classifier expands the feature vector into a higher dimensional space in which the different modulation types are linearly separable. The performance of the proposed system is tested against BPSK, QPSK, 8-PSK, 16-QAM and 64-QAM constellations. Results showed a relatively higher classification rate for all types of modulations compared to previously published results using fourth and sixth order cumulants with other classification schemes. Moreover, the proposed classification scheme has low computational complexity and is more suited for real time applications.

Original languageEnglish
Title of host publication2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, PIMRC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages806-810
Number of pages5
ISBN (Electronic)9781479949120
DOIs
StatePublished - 25 Jun 2014
Externally publishedYes
Event2014 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, IEEE PIMRC 2014 - Washington, United States
Duration: 2 Sep 20145 Sep 2014

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume2014-June

Conference

Conference2014 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, IEEE PIMRC 2014
Country/TerritoryUnited States
CityWashington
Period2/09/145/09/14

Keywords

  • High order cumulants
  • Modulation Classification
  • Polynomial classifiers

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