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- W4313463956 abstract "The recognition of communication relationships under Non-cooperative conditions is significant for understanding the network composition of unknown targets, inferring network topology, and identifying key nodes, which is a prerequisite and basis for conducting efficient electronic countermeasures. However, under Non-cooperative conditions, for prior knowledge related to the target network is difficult to obtain, the communication relationships recognition faces enormous challenges. To address this issue, we construct a system model, analyze the mechanism of wireless communication interaction, extract feature series of signals from spectrum monitoring data, and propose a Transformer-based algorithm for recognizing target network communication relationships. This paper conducts simulation experiments in different scenarios to compare the Transformer-based communication relation recognition algorithm with the other four methods, such as SVM, CNN-based recognition algorithm, ResNet-based recognition algorithm, and LSTM-based recognition algorithm, respectively. And results demonstrate that the proposed algorithm shows high recognition accuracy, good anti-interference performance, and robustness." @default.
- W4313463956 created "2023-01-06" @default.
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- W4313463956 date "2022-11-03" @default.
- W4313463956 modified "2023-09-30" @default.
- W4313463956 title "Recognition of Non-cooperative Radio Communication Relationships Based on Transformer" @default.
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- W4313463956 doi "https://doi.org/10.1145/3571662.3571688" @default.
- W4313463956 hasPublicationYear "2022" @default.
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