This project will develop algorithms for improved noise estimation in active sonar by incorporating environmental models. Background noise is highly variable in both the spatial and temporal domain and often can be linked to features in the environment. Improving adaptive estimation of background noise is fundamental to the detection and tracking of targets in different environments.

Project staff and support

Robert Bares (Postgraduate Associate, Cardiff University)
Dafydd Evans (Academic supervisor, Cardiff University)
Roger Benton (Industrial supervisor, Thales Underwater Systems)
Stephen Long (Industrial co-supervisor, Thales Underwater Systems)
David Allwright (Technology Translator, Industrial Mathematics KTN)

This project is being carried out at Cardiff University, in conjunction with Thales Underwater Systems. It is supported by an EPSRC industrial CASE award, made available through the Knowledge Transfer Network for Industrial Mathematics. Start date: June 2007; duration: 3.5 years.