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Fine-Time Resolution Passive RF Source Imaging

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  • Full or part time
    Dr Carmine Clemente
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (UK Students Only)
    Funded PhD Project (UK Students Only)

Project Description

Duration: 3.5 years
Stipend: between 14,000 and 18,000 GBP per annum (tax free)
Nationality Requirement: To be eligible for a full award (stipend, fees and placement) a student must be UK Citizen.
Start Date: 1st of March 2016 (negotiable).
Location: University of Strathclyde, Glasgow, UK.
To apply email your CV together with your University transcripts to Dr Carmine Clemente ([email protected])


Applications are invited for a PhD studentship fully funded by the University of Strathclyde and Selex ES.

Radio Frequency (RF) sensing and communicating is now ubiquitous. Moreover, with RF emissions being generated using generic semiconductor technologies and with the available spectrum becoming ever more crowded, there is an inexorable convergence of civilian and military systems. Thus all systems are now characterised by frequency, beam-pattern and pulse-pattern agility; because the technology allows it. A radar system will exploit agility to avoid detection and to avoid interference or ambiguity while interleaving multiple service functions whereas communication systems again exploit agility in the search for bandwidth matching varying data rate needs.

Thus the problem of gaining situation awareness, by passively monitoring RF transmissions, is becoming ever more fraught with difficulty. Radar and communications systems are no longer characterised by steady repetitive signal structures and as a result it is difficult to collect enough energy from individual sources to detect them, let alone to characterise or locate them. Thus there is a need to exploit not just the direct line-of-sight signals but also to multi-path reflections of the primary source. Of particular interest is the analysis of finer details in the signals relating to a specific source in order to reconstruct more detailed understanding of the source itself, via what might be described as a source image. Reflected signals will tend to have lower power than the direct interception and it is likely that acceptable performance will require the use of multiple-sensors able to share information and synthetic aperture techniques to gain resolution.

The successful candidate will: 1) Investigate algorithms to extract information and represent the source and the surrounding environment, with a particular focus to scenarios identified in conjunction with Selex ES; 2) Assess the performance of the solutions on simulated environment; 3) Validate algorithms through experimental analysis; 4) Spend time in Selex ES to interact with the industrial supervisor.

This is a unique opportunity to work at the Sensor Signal Processing & Security Laboratories (SSP&S labs) of the Centre of Excellence in Signal and Image Processing of the University of Strathclyde and to collaborate with a world leading company in Defence sector as Selex ES. SSP&S labs are located in the new Technology and Innovation Centre (TIC) of the University of Strathclyde, a stimulating cross-disciplinary environment where the core of the industrial research of Strathclyde is developed.
The SSP&S labs are part of the University Defence Research Collaboration in Signal Processing (UDRC). It will allow the opportunity for the successful candidate to interact with other academics, DSTL and defence industries.

For enquiries contact Dr Carmine Clemente ([email protected])

Funding Notes

Fundings available of UK applicants only

How good is research at University of Strathclyde in Electrical and Electronic Engineering, Metallurgy and Materials?

FTE Category A staff submitted: 59.20

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities
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