A Signal Recognition Method Based on Evidence Theory

Xiang Chen; Hui Han; Hui Wang; Yun Lin; Mengqiu Chai; Mingyu Hu

Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17–18, 2017, Proceedings

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

Xiang Chen, Hui Han, Hui Wang, Yun Lin^,*, Mengqiu Chai, Mingyu Hu

*Contact email: linyun_phd@hrbeu.edu.cn

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.

Keywords: Signal recognition Rényi entropy singular entropy D-S theory

Published: 2018-02-09
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-73317-3_20