Research Article
A Signal Recognition Method Based on Evidence Theory
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@INPROCEEDINGS{10.1007/978-3-319-73317-3_20, author={Xiang Chen and Hui Han and Hui Wang and Yun Lin and Mengqiu Chai and Mingyu Hu}, title={A Signal Recognition Method Based on Evidence Theory}, proceedings={Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17--18, 2017, Proceedings}, proceedings_a={ADHIP}, year={2018}, month={2}, keywords={Signal recognition R\^{e}nyi entropy singular entropy D-S theory}, doi={10.1007/978-3-319-73317-3_20} }- Xiang Chen
Hui Han
Hui Wang
Yun Lin
Mengqiu Chai
Mingyu Hu
Year: 2018
A Signal Recognition Method Based on Evidence Theory
ADHIP
Springer
DOI: 10.1007/978-3-319-73317-3_20
Abstract
In modern complex communication environment, how to effectively identify signal modulation types has become a hot research topic. Based on information entropy and Dempster-Shafer evidence theory (D-S theory), a new signal modulation recognition algorithm is proposed. Through extracting the information entropy feature and normal test, a new acquisition method of basic probability assignment (BPA) is proposed, and then the D-S theory is used to identify the signals. Simulation results show that the proposed algorithm has a better recognition rate, which has great application value.
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