Millimetre-waves (mmW) can penetrate through most materials that are opaque at optical wavelengths, yet they are non-ionizing and thus harmless to living tissue at low power levels. Hence, mmW imaging is of considerable interest for security screening, remote sensing, biomedical imaging and many other applications. A number of imaging systems have been developed and fielded in the literature, including synthetic aperture radar (SAR) and phased arrays. While these techniques have demonstrated good image fidelity, limitations remain, particularly for real-time imaging.
An alternative method applicable to mmW imaging is to make use of computational imaging techniques to simplify the physical architecture of the system, relying more on signal processing to make use of more general measurements, and to more intelligently use those measurements to estimate the scene. Computational imaging generalizes the imaging process, so that many more aperture modalities can be implemented to yield high-fidelity images.
This project will investigate the development of a physical model to study compressive mmW radar imaging systems for security-screening applications. Particularly, it will aim to develop real-time radar signal processing algorithms (Fourier range migration, matched filtering, etc) using parallel-computing solutions. The candidate will be expected to have a strong interest in radar signal processing and keen on developing the necessary numerical skills to achieve the mathematical modelling of the compressive radar imaging system. Candidates with a particular interest in signal processing, imaging and radar systems are encouraged to apply for this position. Experience with applied electromagnetics using numerical programming software, such as MATLAB and Python, would be highly desirable.
This project is funded by the Leverhulme Trust and constitutes a real scientific and technological advance compared to the actual state of art in mmW imaging. This is a unique opportunity to build the next generation mmW radar systems and work at one of the leading institutions in the United Kingdom in millimetre-wave technology, Centre for Wireless Innovation (CWI) at Queen’s University Belfast, collaborating with an international team of academics and industry.
• High quality research and engineering design focusing on signal processing for compressive sensing and computational imaging.
• Develop real-time radar signal processing algorithms by leveraging parallel-computing architectures, such as Graphics Processing Units (GPUs) and field programmable gate arrays (FPGAs).
• Develop radar signal processing algorithms using numerical software, such as MATLAB and/or Python.
• Publish and present results both at international conferences and in scientific journals.
• Working towards realizing a PhD in about 3 years.
Supervisor Name: Dr Okan Yurduseven Tel: +44(0)2890971847 Email: email@example.com