Signal Processing and Speech Communication Laboratory
hometheses & projects › Efficient Interference Mitigation for Automotive Radar

Efficient Interference Mitigation for Automotive Radar

Master Thesis
Announcement date
18 Oct 2019
Research Areas


Modern cars as well as emerging autonomously driving cars are equipped with a wealth of sensors, including cameras, ultrasonic park sensors, lidar, and radar sensors. The latter are also essential for assisted and autonomous driving, since radar can in principle work also in harsh environments, where e.g. vision-based systems may fail. However, such sensor systems are safety-critical elements in a car, and therefore, the signal processing algorithms have to be made robust to different kinds of external influences, like interference from other car’s radar sensors.

Infineon Technologies and TU Graz are looking for motivated students for theses on the subject of mutual interference mitigation.


  • Use real radar chips to develop, implement and test efficient interference mitigation techniques focusing on
    • Low latency, real-time capable computations
    • High performance for safety-critical applications
  • Evaluate algorithms with respect to their impact on sensor performance


  • Internship & supervision at Infineon and TU Graz
  • Existing know-how on the topic and programmable test hardware

Student Profile

  • Master’s program in telematics/electrical engineering/similar
  • Knowledge and interest in
    • Signal processing
    • DSP microcontroller programming