Modulation recognition method of wireless communication digital signal considering multi-dimensional characteristics

Qianfan Yu; Yanyun Guo

doi:10.1117/12.2629236

21 April 2022 Modulation recognition method of wireless communication digital signal considering multi-dimensional characteristics

Qianfan Yu, Yanyun Guo

Author Affiliations +

Proceedings Volume 12175, International Conference on Network Communication and Information Security (ICNCIS 2021); 1217502 (2022) https://doi.org/10.1117/12.2629236
Event: International Conference on Network Communication and Information Security (ICNCIS 2021), 2021, Beijing, China

Abstract

Modulation recognition is a key technology in the field of communication, especially in the field of non cooperative communication. It can realize the automatic recognition and classification of unknown signal modulation without prior knowledge. With the rapid development of modern communication technology, modulation methods become complex and diverse, and modulation recognition technology is also facing more challenges. Although there are relevant studies, there are still many problems and research work to be solved and improved. Based on this, a modulation recognition method of wireless communication digital signal considering multi-dimensional characteristics is proposed. By extracting multidimensional characteristic parameters, constructing multi-dimensional characteristic signal modulation decision tree model and wireless communication digital signal modulation recognition algorithm based on multi-dimensional characteristic model, the modulation mode recognition of digital signal is realized. The experiment shows that compared with the traditional methods, this recognition method has more advantages in the overall modulation recognition accuracy when the signal-to-noise ratio is rising.

Citation Download Citation

Qianfan Yu and Yanyun Guo "Modulation recognition method of wireless communication digital signal considering multi-dimensional characteristics", Proc. SPIE 12175, International Conference on Network Communication and Information Security (ICNCIS 2021), 1217502 (21 April 2022); https://doi.org/10.1117/12.2629236

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