Welcome to the website for my PhD thesis, Environmentally Adaptive Noise Estimation for Active Sonar. This is an industrial CASE studentship under the supervision of Dr. Dafydd Evans, funded by the EPSRC and Thales Underwater Systems.
As demonstrated in the diagram below, sonar data requires extensive processing in order to detect and track target objects. This is due to the methods of sonar ranging, tracking techniques, and a multitude of effects resulting in "noisy" data.
Sonar processing chain
We will be working on the normalisation and detection phases of this chain, with the hope of increasing the probability of detecting targets while minimising false detections. This will be achieved by analysing the distribution of sonar noise and investigating methods for noise estimation.
Publications
- R. Bareš, D. Evans and S. Long, “Noise Estimation in Long-Range Matched-Filter Envelope Sonar Data”. IEEE Journal of Oceanic Engineering, vol.35, no.2, pp.230-235, April 2010. DOI: 10.1109/JOE.2009.2036947 [PREPRINT PDF]
- R. Bareš, D. Evans and S. Long, "Environmentally Adaptive Noise Estimation for Active Sonar". UDT Europe 2009, Cannes.