On the relationship between capacity and distance in an underwater acoustic communication channel
ACM SIGMOBILE Mobile Computing and Communications Review
Underwater acoustic communication channels: propagation models and statistical characterization
IEEE Communications Magazine
High frequency rough surface parabolic equation modeling for underwater acoustic communications
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
A Discrete-Time Channel Simulator Driven by Measured Scattering Functions
IEEE Journal on Selected Areas in Communications
Least-symbol-error-rate adaptive decision feedback equalization for underwater channel
Proceedings of the Eighth ACM International Conference on Underwater Networks and Systems
Iterative estimation of the time-varying underwater acoustic channel using basis expansion models
Proceedings of the Eighth ACM International Conference on Underwater Networks and Systems
| Hi-index | 0.00 |
High frequency acoustic communication (8--50 kHz) has attracted much attention recently. Significant advancements have been achieved in terms of data rates, communication range, and performance. At these high frequencies, various physical processes, including surface waves, subsurface bubbles, and ocean volume fluctuations, can significantly affect the communication channel. The time-varying underwater channel has both deterministic and stochastic features. While there is on-going work, the research community is still lacking adequate models that can provide realistic representations of the dynamic channel in the ocean. Advancements in underwater acoustic communication technology mainly rely on at-sea experiments, which are very costly. A realistic channel model not only can facilitate receiver design, help investigate channel limits, and aid in communication algorithm validation and comparison, it also can provide a basis for network level studies. A communication channel simulator is developed here through the use of parabolic equation modeling of acoustic propagation and scattering. Specifically, the simulator uses the Monterey-Miami Parabolic Equation model (MMPE) augmented with a linear surface model. The linear surface model generates an evolving surface based on theoretical or experimental directional surface spectrum and feed the surface displacement and its derivatives to the acoustic model. The time-varying acoustic field is calculated using successive MMPE runs when the surface evolves. At each single run, the model accounts for surface scattering effects based on the surface input. It also accounts for propagation through the water column and through the sediment based on other environmental measurements such as sound speed profile, bathymetry, and bottom properties. The channel simulator is also calibrated by experimental data obtained in the Pacific ocean in 2008. The surface model simulates a time-evolving surface from the directional surface spectrum obtained by a Waverider buoy in the experiment. Based on the surface input and other environmental measurements, the channel simulator generates realistic time-varying impulse responses. The output agreed well with the acoustic measurements in terms of arrival time structure and intensity profile. Acoustic communication performance comparison between the experimental and simulated data will be also reported in the conference.