Modulation Signal Recognition Based on Information Entropy and Ensemble Learning

Modulation Signal Recognition Based on Information Entropy and Ensemble Learning

In this paper, information entropy and ensemble learning based signal recognition theory and algorithms have been proposed. We have extracted 16 kinds of entropy features out of 9 types of modulated signals. The types of information entropy used are numerous, including Rényi entropy and energy entro...

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Bibliographic Details
Main Authors: Zhen Zhang, Yibing Li, Shanshan Jin, Zhaoyue Zhang, Hui Wang, Lin Qi, Ruolin Zhou
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Entropy
Subjects:
entropy feature
feature selection
ensemble learning
radar
Online Access:http://www.mdpi.com/1099-4300/20/3/198

Internet

http://www.mdpi.com/1099-4300/20/3/198

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