Modeling of sonar transmitters in underwater acoustic secure communication

This paper aims to model underwater acoustic transmitters to enhance secure communication in underwater wireless networks. Identity authentication through feature extraction of underwater acoustic signals is crucial. However, obtaining a large dataset of transmitter signals poses significant challenges. Many current studies rely on simulating underwater acoustic transmitters, primarily focusing on power amplifiers while overlooking matching networks and electro-acoustic transducers. This paper begins with a physical modeling and analysis of underwater acoustic transmitters, followed by the application of the Hammerstein-Wiener model for behavioral modeling, which generates simulated transmission signals. Subsequently, channel simulations are performed to produce synthetic underwater acoustic data. The simulated data is then compared with actual data in the time domain to validate the reliability of the simulation process. The analysis indicates that the proposed modeling approach can effectively represent the characteristics of underwater acoustic transmitters, providing a foundation for further research into identity authentication methods based on acoustic signal features. This work contributes to the development of robust communication protocols for underwater networks, addressing the challenges associated with signal acquisition and analysis.