Expansion of cumulant‐based classifier to frequency shift keying modulations and to the use of support vector machines

Abstract

AbstractThis paper proposes an expansion of the cumulant‐based classifier of digital modulations to frequency shift keying (FSK) modulations. Cumulant estimates are calculated when the FSK modulation is present. The features obtained from the cumulant estimators are used in a support vector machine (SVM) classifier. The performance of the SVM classifier is compared to other classifiers. Among these other classifiers is the cumulant‐based tree classifier which uses thresholds defined by the asymptotic values of the cumulant estimators. The simulation results show that using SVM classifier improves the performance. Copyright © 2007 John Wiley & Sons, Ltd.