Classification of Linear Modulations by a Combination of Different Orders Cyclic Cumulants

  • Authors:
  • Pierre Marchand;Christophe Le Martret;Jean-Louis Lacoume

  • Affiliations:
  • -;-;-

  • Venue:
  • SPWHOS '97 Proceedings of the 1997 IEEE Signal Processing Workshop on Higher-Order Statistics (SPW-HOS '97)
  • Year:
  • 1997

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Abstract

The search for discriminating features is a crucial point when a modulation classification task is aimed. This paper introduces new features based on a combination of fourth- and second- order temporal cyclic cumulants. Such a combination enhances the theoretical discrimination that can be achieved by a single stationary cumulant, and moreover, the cyclic parameters become discriminating, whereas it is not the case when they are considered at pure orders. As an application, we propose a process to classify 4-PSK vs 16-QAM modulations. The classification is achieved by estimating the feature for the received signal, and comparing it with theoretical ones by a matched filter technique. Simulations show that though the cyclic parameters are a priori more discriminating than their stationary counterparts, the variance of their estimates may overcome this advantage.