MSc thesis project proposal

Automotive radar tracking system

Topic: To develop an automotive radar based tracking system with improved accuracy and robustness

Project outside the university

NXP Semiconductors, Eindhoven

Automotive radar is a key element of future autonomous vehicles. The radar sensor output is processed by a tracking system (variants of the Kalman filter) to improve its accuracy and robustness. In this assignment we strive to implement and test such a system. To this extend a 79 GHz radar front-end with raw data processing is available. The raw data can be easily accessed through Matlab or �C�. The implemented filter can then be tested using a target simulator and on real targets in an outdoor scenario (t.b.d.).


  1. Clustering and measurement to track association requirements for the tracking filter.
  2. What happens when multiple targets are present in a single cluster
  3. From a system partitioning point of view the data rate to a host MCU is of interest, how much data reduction can obtained with a tracking filter (clutter, false positive detections etc..)?

Company: NXP Semiconductors

Location: Eindhoven

Assignment duration 6 to 9 months.


prof.dr. Alexander Yarovoy

Microwave Sensing, Signals and Systems Group

Department of Microelectronics

Last modified: 2017-03-28