Stochastic simulation of acoustic communication in turbulent shallow water

This paper presents a stochastic model of a turbulent shallow-water acoustic channel. The model utilizes a Monte Carlo realization method to predict signal transmission conditions. The main output from the model are statistical descriptions of the signal-to-multipath ratio (SMR) and signal fading. Probability density functions of signal envelope are evaluated by Pearsons's Skew-Kurtosis Chart, generally predicting Ricean fading. Dynamic calculations of SMR by the model overcome the main inconveniences of deterministic calculations, providing "smooth" instead of "noisy" curves as a result. Dynamic calculations of SMR and fading are concluded to provide more intelligible and realistic results than deterministic calculations.

[1]  David M. Farmer,et al.  Path-averaged turbulent dissipation measurements using high-frequency acoustical scintillation analysis , 1994 .

[2]  C. Veth,et al.  Turbulence Measurements in the Stratified Central North Sea with a Laser-Doppler Velocimeter System , 1983 .

[3]  R.F.W. Coates,et al.  Analysis of the performance of an underwater acoustic communications system and comparison with a stochastic model , 1994, Proceedings of OCEANS'94.

[4]  Adam Zielinski,et al.  Performance analysis of digital acoustic communication in a shallow water channel , 1995, IEEE Journal of Oceanic Engineering.

[5]  A. Plaisant Long range acoustic communications , 1998, IEEE Oceanic Engineering Society. OCEANS'98. Conference Proceedings (Cat. No.98CH36259).

[6]  Adam Zielinski,et al.  High rate shallow water acoustic communication , 1993, Proceedings of OCEANS '93.

[7]  Peter H. Dahl Bubble Attenuation Effects in High-Frequency Surface Forward Scattering Measurements from FLIP , 1993 .

[8]  A. Essebbar,et al.  Simulation of communication system for underwater acoustics , 1995, 'Challenges of Our Changing Global Environment'. Conference Proceedings. OCEANS '95 MTS/IEEE.

[9]  J. A. Catipovic,et al.  Performance limitations in underwater acoustic telemetry , 1990 .

[10]  S. Flatté Sound transmission through a fluctuating ocean , 1977 .

[11]  David M. Farmer,et al.  Ocean flow measurements using acoustic scintillation , 1983 .

[12]  R. Galvin,et al.  A stochastic underwater acoustic channel model , 1996, OCEANS 96 MTS/IEEE Conference Proceedings. The Coastal Ocean - Prospects for the 21st Century.

[13]  S. Nishifuji,et al.  On-line sensing system of dynamic ship’s attitude by use of servo-type accelerometers , 1995, IEEE Journal of Oceanic Engineering.

[14]  Walter Munk,et al.  Sound Transmission through a Fluctuating Ocean , 1979 .

[15]  G. Loubet,et al.  Underwater acoustic channel simulations for communication , 1994, Proceedings of OCEANS'94.

[16]  L. Bjorno,et al.  A simulation tool for high data-rate acoustic communication in a shallow-water, time-varying channel , 1996 .