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Advanced Adaptive Signal Processing Techniques for Underwater Acoustic Communications

Underwater communications is a challenging area of research. Acoustic communications is considered to be the most practical way of data transmission underwater. However, such phenomena as the Doppler effect and multipath propagation introduce severe distortions in the transmitted signals. These distortions should be corrected before decoding of the transmitted data from the received signal.

This research aims at designing novel adaptive signal processing techniques that are capable of measuring the signal distortions introduced by the channel and correcting them. Firstly, a channel simulator will be developed capable of accurately model the signal distortions in real underwater acoustic environments. This simulator will then be used for investigation of underwater communication systems. Novel adaptive channel estimation and equalisation techniques will then be developed and investigated that exploit specific properties of underwater acoustic channels, in particular the sparseness of the channel impulse response. Results of the research will be verified by applying the developed algorithms to real experimental data. This work will be based on underwater channel modelling and adaptive filtering research previously done at York.

Members

  • Jianghui Li
  • Yuriy Zakharov

Dates

  • Start: October 2013

Research