Signal Processing for a Networked Battlespace

This research is carried out under the Unversity Defence Research Collaboration (UDRC) funded by the MOD and EPSRC. Edinburgh Consortium (University of Edinburgh and Heriot-Watt University) are working together to enhance and build upon existing sensor technologies in Defence. The research group comprises of 9 academic staff, 8 postdoctoral research associates, and 6 PhD students across both Universities. Work will investigate the processing of multi-sensor systems ranging from efficient sampling, through distributed data processing and fusion, to efficient implementations. Underpinning all this work will be the investigation of the issues relating to implementing complex algorithms on small, lighter and lower power computing platforms. All major sensing domains will be covered; Radar/radio frequency, Sonar/acoustics, and electro-optics/infrared - to demonstrate the performance of the innovations developed.

The Research work will investigate some of the following challenges. More information on the research can be found on the project website.

  • Weak signal detection in high volume of clutter
  • Signal processing in high dimension feature space
  • Signal processing in high uncertainty
  • Time-series/High-volume Signal Detection
  • Signal processing for sparse or fleeting signals
  • Signal processing to support sparse sampling of highly non-stationary signals
  • Extraction/separation of multiple overlapping/interwoven signals
  • Statistical anomaly detection
  • Signal Processing in Novel Computation Architectures:
  • Distributed/decentralised signal processing:
  • Algorithms to support dramatic reduction in computation
  • Accreditable machine learning or data-driven techniques

 

 

University Defence Research Collaboration

Project Website: 

Principal Investigator: 

Professor Mike Davies

Postgraduate Researchers: 

Research Institutes: 

  • Digital Communications

Research Themes: 

  • Signal and Image Processing
Monday, January 26, 2015 - 09:13