Signal processing for full-duplex underwater acoustic communications

Underwater acoustic communication plays the key role in data transmission underwater. However, the capacity of the underwater acoustic channel is limited. An efficient way to increase the data throughput in such channels is to use the full-duplex communication, when a communication node can simultaneously receive and transmit acoustic signals. The aim of this project is to develop signal processing techniques that would allow practical implementation of underwater acoustic full-duplex communications. The main focus will be on cancelling the self-interference that can be as high as 100 dB. The work will involve the development of innovative signal processing algorithms for the interference cancellation; this will be based on advanced adaptive techniques developed in the underwater acoustic research group at York. The techniques will be analysed analytically, by simulation in Matlab, and in field (sea/lake) experiments. The developed algorithms can also be implemented on DSP and/or FPGA design platforms.

Entry requirements:

Candidates should have (or expect to obtain) a minimum of a UK upper second class honours degree (2.1) or equivalent in Electronic and Electrical Engineering, Physics, Computer Science, Mathematics or a closely related subject.

How to apply:

Applicants should apply via the University’s online application system at https://www.york.ac.uk/study/postgraduate-research/apply/. Please read the application guidance first so that you understand the various steps in the application process.