Modulation classification based on nonlinear functions and distances

Wei Chen Pao, Yung Fang Chen

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

Abstract

In this paper, we propose a novel modulation classification algorithm based on high-order cumulants, and calculation of Euclidian distances. Non-linear transformation functions are also introduced to change the characteristics of the signals for calculating the multi-dimensional features. Simulation results are presented to demonstrate the superior performance of the proposed scheme compared with the existing hierarchical scheme. The averaged improvement for three different sample sizes is at least 18% over an SNR range of -5dB to 10dB of SNR for the four-class problem

Original languageEnglish
Title of host publication2012 12th International Conference on ITS Telecommunications, ITST 2012
Pages41-44
Number of pages4
DOIs
StatePublished - 2012
Event2012 12th International Conference on ITS Telecommunications, ITST 2012 - Taipei, Taiwan
Duration: 5 Nov 20128 Nov 2012

Publication series

Name2012 12th International Conference on ITS Telecommunications, ITST 2012

Conference

Conference2012 12th International Conference on ITS Telecommunications, ITST 2012
Country/TerritoryTaiwan
CityTaipei
Period5/11/128/11/12

Keywords

  • Feature extraction
  • Modulation classification

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