PhD researcher on advanced miniaturized radars

Leuven - PhD
More than two weeks ago
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Since World War II, Radars have gone a long way from bulky and expensive military/space radars to miniaturized radars for various applications in the consumer, automotive and smart environments domains. The trend over the last decade has been to move to millimeter wave, supported by the constant improvement in semiconductor technology and supported by a strong demand in the automotive domain. Imec started several years ago the development of mm-wave radars and has now a strong mm-wave radar program covering frequencies of 60GHz, 79 GHz and 140GHz, all implemented in bulk CMOS technology. The imec radars can be used in several application domains such as smart home/building, smart cities, security and automotive.

In order to provide additional functionality and performance to miniaturized mm-wave radars, IMEC is looking for a creative, autonomous and highly skilled PhD candidate who will develop new algorithms, waveforms and architectures for new generations of radars. It is expected that the outcome of this work will have an impact on both the radar design itself (RF and analog part) and the signal processing part, resulting in strong differentiators in the following areas:

  • Radar performance (resolution in range, Doppler, angle)
  • Advanced multi-antenna architectures and concepts (e.g. beamforming, MIMO, SAR)
  • Advanced target detection, tracking and feature extraction
  • Reduced implementation complexity, power consumption and form factor
  • Robustness to and compensation of front-end non-idealities
  • Robustness to and compensation of mutual interference

Required background:
The largest part of the work is expected to be on architectures and algorithms and will be supported by advanced modelling. Whenever possible, algorithms will also be demonstrated on radar platforms available at imec.
The selected candidate will have to demonstrate a strong background and interest in several of the following domains:

  • Advanced signal processing (filtering, transforms, time-frequency transforms, cepstral analysis, array processing, wavelets, ...);
  • Stochastic signal processing and system identification, Kalman filtering;
  • Estimation techniques (Bayesian estimation, least-squares, spectral estimation, super-resolution algorithms);
  • Radar;
  • Matlab, C/C++, Python;
  • Real-time computing platforms.

The candidate will work in a team and will hence have to show good abilities to collaborate and communicate with other researchers. Excellent oral and written English are mandatory.

Type of work: algorithm development, Matlab/Python/C modelling, implementation on radar platforms in the lab

Supervisor: Sofie Pollin

Daily advisor: André Bourdoux

The reference code for this PhD position is SE1712-10. Mention this reference code on your application form.

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