Research Article
Modulation Recognition of Digital Signal Based on Decision Tree and Support Vector Machine
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@INPROCEEDINGS{10.1007/978-3-030-62483-5_15, author={Fugang Liu and Ziwei Zhang and Shuang Zheng and Zhaoju Jia}, title={Modulation Recognition of Digital Signal Based on Decision Tree and Support Vector Machine}, proceedings={Green Energy and Networking. 7th EAI International Conference, GreeNets 2020, Harbin, China, June 27-28, 2020, Proceedings}, proceedings_a={GREENETS}, year={2020}, month={11}, keywords={Modulation recognition Feature extraction SVM}, doi={10.1007/978-3-030-62483-5_15} }- Fugang Liu
Ziwei Zhang
Shuang Zheng
Zhaoju Jia
Year: 2020
Modulation Recognition of Digital Signal Based on Decision Tree and Support Vector Machine
GREENETS
Springer
DOI: 10.1007/978-3-030-62483-5_15
Abstract
The modulation recognition of digital signal is widely used in the field of communication. In this paper, a decision tree modulation recognition algorithm based on feature extraction and a conventional classifier recognition based on SVM are proposed. 9 kinds of common digital signals are identified and simulated. The results show that the recognition rate of SVM classifier and decision tree is high at low SNR.
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