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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Acknowledgements
This paper is funded by the National Natural Science Foundation of China (61301095), Nature Science Foundation of Heilongjiang Province of China (F201408). This paper is also funded by the International Exchange Program of Harbin Engineering University for Innovation-oriented Talents Cultivation. Meantime, all the authors declare that there is no conflict of interests regarding the publication of this article.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Chen, X., Han, H., Wang, H., Lin, Y., Chai, M., Hu, M. (2018). A Signal Recognition Method Based on Evidence Theory. In: Sun, G., Liu, S. (eds) Advanced Hybrid Information Processing. ADHIP 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 219. Springer, Cham. https://doi.org/10.1007/978-3-319-73317-3_20
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DOI: https://doi.org/10.1007/978-3-319-73317-3_20
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