Jeroen Overdevest — accepted AI-conference papers

2025

Deep Unfolding Using Score-based Generative Networks for Automotive Radar Interference Mitigation

Xinyi Wei, Jihwan Youn, Jeroen Overdevest, Jun Li, Satish Ravindran, Ruud J. G. van Sloun

ICASSP 2025accepted

Automotive frequency-modulated continuous wave (FMCW) radars, essential in Advanced Driver Assistance Systems, encounter mutual interference issues that degrade their detection capabilities. Model-based algorithms, though widely used, rely heavily on predetermined assumptions about the statistical p…

Cited by 2 Source ↗Scholar ↗

2023

Signal Reconstruction for FMCW Radar Interference Mitigation Using Deep Unfolding

Jeroen Overdevest, A. G. C. Koppelaar, M. J. G. Bekooij, J. Youn, Ruud J. G. van Sloun

ICASSP 2023accepted

Removal of frequency-modulated continuous wave (FMCW) interference by zeroing corrupted samples causes significant distortions and peak power losses in the range-Doppler map. Existing methods aim to diminish these distortions by utilizing data from one dimension to reconstruct the corrupted samples,…

Cited by 0 Source ↗Scholar ↗