scholarly journals Underwater Acoustic Channel Characterization of Shallow Water Environment

2018 ◽  
Vol 6 (1) ◽  
pp. 137-150 ◽  
Author(s):  
Tri Budi Santoso ◽  
Endang Widjiati ◽  
Wirawan Wirawan ◽  
Gamantyo Hendrantoro

Understanding of channel propagation characteristics is a key to the optimal design of underwater acoustic communication. Generally, modelling of underwater acoustic channel is performed based on measurement result in certain site at certain times. Different sites might have different characteristics, each of which can generally be described by a model obtained by averaging measurement results at multiple points in the same environment. This paper describes a characterization of the underwater acoustic channel of tropical shallow water in a Mangrove estuary, which has sediment up to 60 cm at the bottom. Such a channel model is beneficial for the design of communication system in an autonomous underwater vehicle, for instance. The measurement result of delay spread parameter from three different points with the distance of 14 ~ 52 m, has various values. The root mean square (RMS) of delay spread ranges between 0.0621 ~ 0.264 ms, and the maximum delay spread varies with the value of 0.187 ~ 1.0 ms. The pdf fitting shows that Rayleigh distribution describes the fading variation more accurately than Nakagami and Ricean.

2012 ◽  
Vol 263-266 ◽  
pp. 1178-1183 ◽  
Author(s):  
Wei Gang Bai ◽  
Hai Yan Wang ◽  
Rui Qin Zhao

Underwater acoustic networks (UWAN) play a crucial role in the development of modern marine military defense and civilian marine. In many cases, the simulation of routing and MAC protocols in underwater acoustic network has ignored the impact of some critical features of complex underwater acoustic channel upon UWAN performances. This paper establishes a channel model for the Rayleigh fading channel in shallow-water medium-range communication in OPNET network simulation software. It simulates the time-varying and multi-path effects of underwater acoustic channel, which are reflected in the received power and bit error rate. Finally the validity of this channel model is verified by simulations.


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