Computer Science ›› 2011, Vol. 38 ›› Issue (5): 64-66.

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Performance Evaluation Algorithm of Digital Modulation Signals Recognition

LIU Ming-qian,LI Bing-bing,LIU Han   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Because the accurate rate could not be evaluated objectively and overall in recognition of digital modulation,it was proposed that area under receiver operating characteristic(AUC) was used for assessing the LS-SVM classifier and NN classifier's performance. After using the five characteristics parameters, the classification of digital modulation was successfully realized by adopting the LS-SVM classifier and NN classifier. The values of AUC were used for evaluating the merits and demerits of classifiers. The relevant simulation results shown the average performance of the LS-SVM classifier is better than that of the NN classifier.

Key words: Performance evaluation, AUC, ROC curve, SVM, Modulation recognition

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