An automatic modulation classification technique using high-order statistics for multipath fading channels

Pokuan Shih, Dah Chung Chang

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

7 Scopus citations

Abstract

In the last few years, the Dynamic Spectrum Access (DSA) has been a flexible strategy for wireless spectrum management. In vehicular communications, OFDM is usually used. The detection of dynamically allocated signals is a problem for a receiver with DSA technique. The automatic modulation classifier can recognize and demodulate the dynamically allocated signals in the OFDM system. We design a layered modulation classifier based on high-order statistics to classify the unknown modulated signal. The aim of the classifier is to defeat the unknown channel effect. We show the classification algorithm of signal detection in multipath environments, and discuss the performance of simulation results.

Original languageEnglish
Title of host publication2011 11th International Conference on ITS Telecommunications, ITST 2011
Pages691-695
Number of pages5
DOIs
StatePublished - 2011
Event2011 11th International Conference on ITS Telecommunications, ITST 2011 - St. Petersburg, Russian Federation
Duration: 23 Aug 201125 Aug 2011

Publication series

Name2011 11th International Conference on ITS Telecommunications, ITST 2011

Conference

Conference2011 11th International Conference on ITS Telecommunications, ITST 2011
Country/TerritoryRussian Federation
CitySt. Petersburg
Period23/08/1125/08/11

Keywords

  • blind channel estimation
  • decision tree
  • FB-AMC

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