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Mobile Networks and Applications
Erschienen in: Mobile Networks and Applications 4/2018

19.01.2018

A New Method of Cognitive Signal Recognition Based on Hybrid Information Entropy and D-S Evidence Theory

verfasst von: Hui Wang, Lili Guo, Zheng Dou, Yun Lin

Erschienen in: Mobile Networks and Applications | Ausgabe 4/2018

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Abstract

The automatic modulation recognition of communication signal has been widely used in many fields. However, it is very difficult to recognize the modulation in low SNR. Based on information entropy features and Dempster-Shafer evidence theory, a novel automatic modulation recognition methods is proposed in this paper. Firstly, Rényi entropy and singular entropy is used to obtain the modulation feature. Secondly, based on the normal test theory, a novel basic probability assignment function(BPAF) is presented. Finally, Dempster-Shafer evidence theory is used as a classifier. Experiment results indicate that the new approach can obtain a higher recognition result in low SNR.
Vorheriger Artikel Introduction of Recent Advanced Hybrid Information Processing
Nächster Artikel Analysis of Measurement and Application of Digital to Analog Converters for Software Defined Radio Hybrid System

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Metadaten
Titel
A New Method of Cognitive Signal Recognition Based on Hybrid Information Entropy and D-S Evidence Theory
verfasst von
Hui Wang
Lili Guo
Zheng Dou
Yun Lin
Publikationsdatum
19.01.2018
Verlag
Springer US
Erschienen in
Mobile Networks and Applications / Ausgabe 4/2018
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-018-1000-8

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