# A Cross-Medium Uplink Communication Model Merging Acoustic and Millimeter Waves
## 4 Conclusions  
In conclusion, we introduced a novel SNR channel model for evaluating the performance of the TARF communication system based on the amplitude characteristics observed in experimental conditions. We successfully corrected the original submicron level mi  
Figure 9: Decoding experiment results. croamplitude wave model to a water surface amplitude model suitable for our experimental conditions through second-order nonlinear correction, and incorporated environmental factor corrections for box vibration and multipath effects. To obtain a more accurate and universal TARF channel model, there is an urgent need to develop a sound-induced water surface wave model that can accommodate a variety of nonlinear wave conditions, such as microamplitude and finite amplitude waves, which will be the foundation and key to constructing the TARF channel model. The proposed model was validated through experimental results, demonstrating a high correlation coefficient of 0.982. This high degree of correlation validates the effectiveness of the model and instills confidence in its applicability for analyzing and optimizing the communication performance in cross-medium uplink communication. Furthermore, a real-time water-air cross-medium communication system was developed, and communication experiments were conducted. Filtering and demodulation algorithms were designed to facilitate signal processing. The sliding Fourier transform method was applied to address issues such as speaker switching noise interference and intercode errors. Ultimately, the study achieved water-air cross-medium communication by combining acoustic and millimeter waves. The successful realization of water-air cross-medium communications merging acoustic and millimeter waves demonstrates the feasibility of the TARF communication system, unfurling promising horizons for ensuing research and progression. By thoroughly examining the amplitude characteristics and the corresponding SNR, the constructed model emerges as a pivotal tool for establishing the TARF uplink communication system. It aids in devising more robust and more efficient communication systems, propelling the advancement of water-air communication technology. In upcoming sea trials, we aim to broaden the applicability of the TARF communication system in deep-water environments through several technical upgrades. Initially, addressing deep-water communication needs, we will replace existing loudspeakers with high-power acoustic transducers for clearer, more stable signal transmission in deeper waters, and employ higher resolution millimeter-wave radars to extend the maximum transmissible distance. Additionally, we plan to utilize efficient modulation techniques to enhance communication rates and system scalability. As the transmission distance and depth increase, we aim to develop more comprehensive channel models to accommodate varied application scenarios. Subsequently, we will select suitable sea areas for trials, conducting them aboard vessels on the appointed day. We will place upgraded acoustic transducers at deeper locations, emitting preset acoustic signals, and use high-resolution radar systems on the water surface to monitor water surface fluctuations caused by acoustic signals in real time to decode the original information. The collected data will help assess the signal-to-noise ratio to measure the communication quality and stability and provide valuable insights for constructing and validating channel models for deeper waters. However, we recognize that TARF technology's scalability is affected by inherent limitations like multipath effects due to environmental conditions, severe high-frequency signal attenuation underwater, and susceptibility to wind and waves. We anticipate that data from sea trials will offer insights into these limitations, aiding in identifying technical solutions to optimize TARF technology in future research. Conceptualization, Y.G. and Q.T. ; methodology, Y.G. and Y.Z. ; software, Y.G. ; validation, Y.G. and Z.Z. ; formal analysis, Y.G., Q.T. and Y.Y.