Multistatic mm-wave Radar Synchronization
Millimeter wave radars are used in automotive applications for collision avoidance. The signal from a single radar provides a range measurement of the scatterers or targets in the scene illuminated by the beam pattern of the radar antenna. When multiple synchronized radars are used, the location of these scatterers can also be resolved in the cross-range dimensions. Synchronization means that all the antennas can effectively measure the wavefront of the received signal with exactly the same carrier frequency and sampling clock. This is also called coherent operation.
Backpropagation of the received wavefront focuses it back to the scatterers in the scene and resolves their location. Resolution and field of view of a multiple radar system depends on the positioning of the radars and the number of the radar pairs used. Multistatic radar configurations provide some of the most optimal and efficient wavefront sampling architectures but are challenging to synchronize. In multistatic configurations, the signal from one transmitter is received by multiple receivers. When the radar pairs, TX and Rx, are not synchronized (for example, the LO of the transmitter and the LO of the receivers are not synchronized) the backpropagated wavefronts does not focus and the location of the scatterers cannot be resolved. If the synchronization mismatch is known, then the sampled wavefronts can be computationally corrected to resolve the location of the scatterers. Understanding the statistical nature of the synchronization mismatch could help the development of stochastic correction methods.
In this thesis, you will measure the statistics of synchronization mismatch between Tx and Rx pairs driven by separate Local Oscillators. With the insight from the measurements you will propose synchronization methods and implement and test your methods. The work will include literature study, simulation, measurements and experimentation.
The successful candidate must show a strong understanding of wireless communications or radar, RF transceivers and signal processing. Proficiency with Matlab or Python is a must.
- Master Thesis internship (6 months)
- Preceded by optional summer internship (3 months)
Orges Furxhi (Orges.Furxhi@imec.be), R&D Manager, Camera Systems and Computational Imaging
André Bourdoux (Andre.Bourdoux@imec.be), Principal Member of Technical Staff
Type of project: Combination of internship and thesis
Duration: 6 months
Required degree: Master of Engineering Technology, Master of Engineering Science
Required background: Electrotechnics/Electrical Engineering
Only for self-supporting students.