BT/RP/MT: Interference Avoidance for FMCW Radar Sensors for the Automotive Sector

7. January 2026

Description

Radar sensors exhibit greater robustness to adverse weather conditions, such as rain, fog, and darkness, compared with other promising sensors, such as cameras and LiDAR, which is why they are particularly in demand in the automotive domain. With ongoing development and increasing demand for Advanced Driver Assistance Systems (ADAS), radar sensors are being integrated into vehicles at a growing rate. [1]

However, uncoordinated access can increase the risk of interference, which manifests as ghost targets or a reduced signal-to-interference-plus-noise ratio (SINR). Various approaches implement resource scheduling, requiring central coordination.

Within the scope of this work, an additional modulation that enables a decentralized system, based on an existing system model, should be implemented. [2]

Research Questions

  • Can a decentralized approach be chosen for the detection or avoidance of interference in FMCW radars?
  • Which effects can be compensated, which additional processing steps or components are required, and what losses or gains are achievable?

Objectives of the thesis

The objective of this work is to integrate an additional modulation into FMCW modulation and evaluate its performance under interference conditions.

  1. Simulation of an FMCW radar with the following radar signal processing for a simple reference scenario (point target).
  2. Based on this, generation of an interference signal with additional superposition and analysis of the resulting interference effects.
  3. Integration of a modulation and subsequent signal processing to reduce the previously induced interference.
  4. Performance evaluation comparing the unmodulated and modulated FMCW signals, with a focus on improved performance under interference conditions.

Required Background Knowledge

  • Fundamentals of information and communication engineering
  • Basic programming skills (Python)

References

  • [1] C. Waldschmidt, J. Hasch, and W. Menzel, “Automotive Radar — From First Efforts to Future Systems,” IEEE Journal of Microwaves, vol. 1, no. 1, pp. 135–148, 2021.
  • [2] U. Kumbul, N. Petrov, C. S. Vaucher and A. Yarovoy, “Automotive Radar Interference Mitigation using Phase-Coded FMCW Waveform,” 2024 IEEE 4th International Symposium on Joint Communications & Sensing (JC&S), Leuven, Belgium, 2024, pp. 1-6.

Interested?

Are you interested in this exiting thesis? We look forward to receiving your application with a short resume at:

Jonas Bönsch, M. Sc.


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