In order to reduce the level of false alarms which hampers cost effective landmine clearance, Cobham Technical Services have developed a dual sensor detector which employs ground penetrating radar. This enables the operator to reject the false alarms caused by small metal fragments and preferentially detect landmines of all types.
The radar signal contains information both on the landmine and the surrounding soil, so the work on this project seeks to further exploit this information to increase the probability of detection and reduce the false alarm rate, thus benefiting clearance operations.
This internship will further explore aspects of the signal processing of the radar data. Its aims are to refine further the characterisation of the landmine signature through various signal processing techniques. These techniques may include:
Signal classification by means of deconvolution or other inverse scattering techniques in order to reduce the effects of distortion caused by the mine detector’s signal acquisition technique.
Clutter reduction by means of classification and rejection of the backscattered signal from non-threat targets.
The outcome of this internship will provide a better understanding of the feasibility of appropriate signal processing techniques.
Project staff and support:
David Daniels (Company Supervisor, Cobham)
Paul Hammerton (Academic Mentor, University of East Anglia)
John Schofield (Student, University of East Anglia)
Rushen Patel (Technology Translator, Industrial Mathematics KTN)
The Internship is being carried out at Cobham, in conjunction with the University of East Anglia. It is part of the KTN’s Industrial Mathematics KTP Programme, co-funded by EPSRC. Start date: May 2011; duration 6 months.
Other internship projects.
Other defence projects.