Abstract
In order to overcome the problems brought by traditional covert communication methods, based on bionics, this paper adopts real or simulated dolphin calls as communication signals to achieve the effect of covert communication and completely solving the safety problem of underwater covert communication. The main work of this paper is as follows: Step 1: Analyze the sound characteristics of cetaceans and classify them according to their sound characteristics. Create and store the database of these calls. Step 2: Analyze the actual application scenario, refer to our research and application, and select bionic signals from the database. Step 3: After the sound source is generated, select the appropriate modulation scheme. Step 4: Refer to the modulation scheme and channel characteristics, adopt appropriate channel estimation and equalization. Finally, the signal is extracted by any suitable receiver.
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Acknowledgment
This work was supported by the following projects: the National Natural Science Foundation of China (61862020); the key research and development project of Hainan Province (ZDYF2018006); Hainan University-Tianjin University Collaborative Innovation Foundation Project (HDTDU202005).
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Lian, K., Shen, J., Huang, X., Yang, Q. (2021). Application of Bionics in Underwater Acoustic Covert Communication. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-62746-1_30
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