Abstract
Aiming at improve the signal transmission quality of wireless communication networks, blind signals need to be separated in real time. A hybrid blind signal separation algorithm based on high order statistic blind source separation under complex electromagnetic interference is proposed. The hybrid blind signal model of wireless communication network is constructed under complex electromagnetic environment interference. The fourth order cumulant is used to decompose the insensitivity of the mixed blind signal, which effectively suppresses the complex electromagnetic pulse interference. The blind separation of mixed signal is realized by using time-frequency decomposition method. The real-time separation performance of signal is realized. The proposed method brings improved blind separation ability, reduced bit error rate and enhanced communication quality of the wireless communication network.
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Liu, W. (2020). Optimal Algorithm of Hybrid Blind Signal Real-Time Separation in Wireless Communication Networks. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1146. Springer, Cham. https://doi.org/10.1007/978-3-030-43306-2_22
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DOI: https://doi.org/10.1007/978-3-030-43306-2_22
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