CWTe - Signal Reconstruction for FMCW RADAR Interference Mitigation using Deep Unfolding and Algorithmic Radar
3 april 2023
16:00 uur
- 17:30 uur
Print evenement
Voeg toe aan je agenda
The Center for Wireless Technology (CWTe) bi-monthly* colloquium webinar will have two speakers in this colloquium/webinar on interesting wireless topics:
Speakers
Jeroen Overdevest, NXP – Signal Reconstruction for FMCW RADAR Interference Mitigation using Deep Unfolding
Corné van Puijenbroek, TU/e – Algorithmic Radar: a novel low-power and flexible architecture
Participation link: we will use ‘MS Team’, see the link on the bottom. Room for questions/discussion after each presentation
Speaker 1:
Abstract:
Signal Reconstruction for FMCW RADAR Interference Mitigation using Deep Unfolding
Jeroen Overdevest (NXP)
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, which do not perform well when a large number of samples are interfered and have difficulty recovering weak target signals. In this paper, model-based deep learning interference mitigation algorithms, called ALISTA and ALFISTA, are presented that reduce these artifacts by leveraging the full integration gain using all uncorrupted fast-time and slow-time samples.
Bio
Jeroen Overdevest received the B.Sc. and M.Sc. degrees in electrical engineering from the Delft University of Technology, Delft, The Netherlands, in 2015 and 2018, respectively. After pursuing the M.Sc. thesis at NXP Semiconductors N.V., he joined the Algorithms & Software Innovation group (BL ADAS R&D) of NXP semiconductors N.V., Eindhoven, The Netherlands, in 2018. His research interests include signal processing, deep learning and waveform design for mm-wave automotive radar applications. In October 2021, Jeroen started his PhD with SPS within the RAISE project (Robust AI for SafE radar signal processing).
Speaker 2:
Abstract
Algorithmic Radar: a novel low-power and flexible architecture
Corné van Puijenbroek (TU/e)
Frequencies above 100 GHz become more and more interesting for radars because of the larger bandwidths. However, conventional architectures become increasingly complex and power-hungry. Algorithmic radar allows for several order of magnitude reduction of power consumption, without sacrificing speed or accuracy, and is suitable for both MIMO and SISO. Due to its flexibility, algorithmic radar easily supports coding artefact elimination as well as precision distance measurements, with a one-shot accuracy of 1 mm.
Bio
Corné van Puijenbroek is a PhD student and an industry veteran with 30 years of experience inv the development of wireless communication products, such as DECT, WiFi and ZigBee. He is (co-)author of 13 patents and currently researches 145 GHz radar architectures and circuit designs.