Leuven | More than two weeks ago
You will help creating radar images approaching camera and Lidar resolution
The usability of radars as imagers in modern autonomous vehicles has seen a significant increase in the past two decades towards achieving full autonomy. Mainly, millimeter-wave imagers are better than optical imagers when it comes to the all-weather operation capability as well as the ambient-light independence . However, optical imagers come superior to millimeter-wave imagers in terms of angular resolution. The concept of Synthetic Aperture Radar (SAR)  can be used in autonomous vehicles to achieve higher angular resolution. This is done by exploiting the motion of the platform on which the Radar is mount.
IMEC has a vast on-going research project on automotive millimeter-wave radars. An initial tool has been developed to assess several imaging methods .
In this topic, the student will further develop the existing tool to support advanced SAR configurations, to include compatibility with the radar waveform and include practical non-ideal effects such as platform positioning errors. Then, the student will use the updated tool to explore, analyze, and compare effective approaches for 2D/3D antenna array configuration and processing for autonomous imaging applications .
Type of work: Modelling, simulation, and Radar signal processing.
The successful candidate will have the following skills:
Ideally: knowledge of basic radar concepts and SAR imaging methods. Alternately, knowledge of wireless communications (physical layer) and beamforming.
Proficiency with Matlab
Basic signal processing
Master Thesis internship (6 months)
Preceded by optional summer internship (3 months)
Responsible scientist(s): Adnan Al baba (Adnan.Albaba@imec.be)
 Patole, S. M., Torlak, M., Wang, D., & Ali, M. (2017). Automotive radars: A review of signal processing techniques. IEEE Signal Processing Magazine, 34(2), 22-35.
 Gorham, L. A., & Moore, L. J. (2010, April). SAR image formation toolbox for MATLAB. In Algorithms for Synthetic Aperture Radar Imagery XVII (Vol. 7699, p. 769906). International Society for Optics and Photonics.
 Mohammadian, N., Furxhi, O., Short, R., & Driggers, R. (2019, May). SAR millimeter wave imaging systems. In Passive and Active Millimeter-Wave Imaging XXII (Vol. 10994, p. 109940A). International Society for Optics and Photonics.
 Mohammadian, N., Furxhi, O., Short, R., & Driggers, R. (2019). Performance comparison of sparse array millimeter wave imager configurations. Optics Express, 27(14), 19292-19308.
Type of project: Combination of internship and thesis
Duration: 6 months
Required degree: Master of Engineering Technology, Master of Science, Master of Engineering Science
Required background: Electrotechnics/Electrical Engineering
Supervising scientist(s): For further information or for application, please contact: Adnan Al baba (Adnan.Albaba@imec.be)