Vacature: Internship/Graduation Assignment 1313416


Advanced Integrated Radar Processing




Mathematics, Physics, Electrical Engineering (or related)




Algorithm development, stochastic modeling of physical phenomena, (Bayesian) signal processing, Matlab


The department Sensors – TBU Radar Engineering is, a.o., responsible for the development of radar signal and data processing techniques for radar and EO sensors, including advanced tracking algorithms.

Tracking is an important element of radar processing and can be described as ‘the processing of sensor measurements obtained from objects in order to estimate the states of these objects’. For example, in case of a radar system, the object can be an aircraft with range and bearing as measurements and the position and the velocity as the states.

Particle filtering is a relative new, promising approach to optimally deal with non-linear, non-Gaussian estimation problems as found in radar processing. Other applications of particle filters can be found in, e.g., robotics, sonar and image recognition.


Within the department Sensors – TBU Radar Engineering, there is a continuous interest in the development of advanced integrated radar processing based on particle filters. This processing comprises the simultaneous detection, tracking and classification of targets.

Research topics include: target tracking, classification, modeling of received radar measurements, dynamic modeling of objects and their environment, exploitation of external knowledge (e.g. digital charts) to improve the radar output, etc.

The exact topic of the project can be adapted according to the background, the interests of the student and the duration of the project. Students who are interested in an applied research project in the above fields, are encouraged to contact us to further discuss the possibilities.


Sensors – TBU Radar Engineering


Martin Podt (and others)

If you want to apply for this assignment, please send us an email with your C.V. and motivation why you select Thales. Or find our assignments online:

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