Modulation Classification Using Compressed Sensing and Decision Tree–Support Vector Machine in Cognitive Radio System

Modulation Classification Using Compressed Sensing and Decision Tree–Support Vector Machine in Cognitive Radio System

In this paper, a blind modulation classification method based on compressed sensing using a high-order cumulant and cyclic spectrum combined with the decision tree−support vector machine classifier is proposed to solve the problem of low identification accuracy under single-feature paramet...

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Bibliographic Details
Main Authors: Xiaoyong Sun, Shaojing Su, Zhen Zuo, Xiaojun Guo, Xiaopeng Tan
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
modulation classification
high-order cumulant
cyclic spectrum
compressed sensing
decision tree–support vector machine
Online Access:https://www.mdpi.com/1424-8220/20/5/1438

Internet

https://www.mdpi.com/1424-8220/20/5/1438

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