Ultra-low cost passive multi-modal multi-output (MIMO) radar
Self-funded PhD students only
School of Energy and Electronics
February and October
Applications accepted all year round
Applications are invited for a self-funded, 3-year full-time or 6-year part-time PhD project, to commence in October 2019 or February 2020. The PhD will be based in the School of Energy and Electronics and will be supervised by Dr Salem Aljareh, Professor Bill Dawber and Dr Branislav Vuksanovic.
Active radars provide the primary source of detection and tracking information for air traffic control and vessel traffic management, forming a key component of the national, commercial and security infrastructure. Conventional active radar technology is relatively expensive setting a practical limit to the number of radar systems in a surveillance network, which often results in significant gaps in coverage.
This project will develop techniques and technologies for ultra-low cost passive radar systems, which could provide affordable and extensive coverage at a fraction of the cost of conventional radar systems. Passive radar in this context exploits existing emitters such as radio and TV broadcasts, eliminating the need for expensive transmit hardware. The proliferation of software defined radio (SDR) has led to widely available low–cost hardware and software to receive, digitise and process radio frequency signals.
This PhD project builds on work completed through collaboration between University and industrial partner aimed at developing a proof-of-concept demonstration of passive radar detection of ships and aircraft using two low cost USB SDR dongles receiving the scattered transmission from the Rowbridge digital television broadcast. The proposed project will deliver a complete low-cost passive radar with the ability to use multiple transmission types from several disparate transmission sources.
The transmissions will be at different broadcast frequencies and potentially with different modulation types. Ideally, the radar will be able to process several simultaneous transmissions to provide frequency and spatial diversity. This novel multiple-input, multiple output (MIMO) approach exploiting both spatial and temporal diversity is expected to significantly improve the coverage and accuracy of the passive radar. The project will also investigate techniques to provide 360-degree coverage by combing the outputs from multiple antennas to provide all-round surveillance.
This project will also investigate the feasibility of multi-lateration using multiple geographically separated passive radars, each receiving multiple transmissions from multiple emitters of opportunity. This will further improve the MIMO capability of the radar network. The use of multiple antennas providing coherent phased array reception at each passive radar site should further improve signal reception when looking in only one sector.
Funding Availability: Self-funded PhD students only
PhD full-time and part-time courses are eligible for the UK Government Doctoral Loan (UK and EU students only).
Home/EU full-time students: £4,327 p/a*
Home/EU part-time students: £2,164 p/a*
International full-time students: £15,900 p/a*
International part-time students: £7,950 p/a*
*Fees are subject to annual increase
By Publication Fees 2019/2020
Members of staff: £1,610 p/a*
External candidates: £4,327 p/a**Fees are subject to annual increase
You'll need a good first degree from an internationally recognised university (minimum upper second class or equivalent, depending on your chosen course) or a Master’s degree in an Civil Engineering or related area. In exceptional cases, we may consider equivalent professional experience and/or Qualifications. English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.
The candidate should possess an MEng or MSc in communication systems engineering, electronic engineering or physics with excellent grades from a reputable university. Knowledge in Radar Systems, Radio Signals and Digital Signal Processing (DSP is required. The candidate should also demonstrate a strong programming in Matlab and good mathematical and analytical skills. Experience using antenna design, C/C++ programming and knowledge in passive radar is desirable. This PhD study is part of a collaboration between the university and an industrial partner (leading company in technology and engineering) and the candidate will benefit from the collaboration during and after the study.
How to apply
We’d encourage you to contact Dr Salem Aljareh (firstname.lastname@example.org) to discuss your interest before you apply, quoting the project code ENGN4560219.
When you're ready to apply, you can use our online application form and select ‘Energy and Electronic Engineering’ as the subject area. Make sure you submit a personal statement, proof of your degrees and grades, details of two referees, proof of your English language proficiency and an up-to-date CV.
Our How to Apply page also offers further guidance on the PhD application process.