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Unlimited Sampling for FMCW Radars: A Proof of Concept
Feuillen, Thomas; ALAEEKERAHROODI, Mohammad; Bhandari, Ayush et al.
2022In 2022 IEEE Radar Conference (RadarConf22)
Peer reviewed
 

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Résumé :
[en] High-resolution FMCW radar systems are becoming an integral aspect of applications ranging from automotive safety and autonomous driving to health monitoring of infants and the elderly. This integration provides challenging scenarios that require radars with extremely high dynamic range (HDR) ADCs; these ADCs need to avoid saturation while offering high-performance and high-fidelity data-acquisition. The recent concept of Unlimited Sensing allows one to achieve high dynamic range (HDR) acquisition by recording low dynamic range, modulo samples. Interestingly, oversampling of these folded measurements, with a sampling rate independent of the modulo threshold, is sufficient to guarantee their perfect reconstruction for band-limited signals. This contrasts with the traditional methodology of increasing the dynamic range by adding a programmable-gain amplifier or operating multiple ADCs in parallel. This paper demonstrates an FMCW radar prototype that utilises the unlimited sampling strategy. Our hardware experiments show that even with the use of a modulo measurements of lower precision, the US reconstruction is able to match the performances of the conventional acquisition. Furthermore, our real-time processing capability demonstrates that our “proof-of-concept” approach is a viable solution for HDR FMCW radar signal processing, thus opening a pathway for future hardware-software optimization and integration of this technology with other mainstream systems.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
Feuillen, Thomas
ALAEEKERAHROODI, Mohammad  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
Bhandari, Ayush
MYSORE RAMA RAO, Bhavani Shankar  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
OTTERSTEN, Björn  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Unlimited Sampling for FMCW Radars: A Proof of Concept
Date de publication/diffusion :
2022
Nom de la manifestation :
2022 IEEE Radar Conference (RadarConf22)
Lieu de la manifestation :
New-York, Etats-Unis
Date de la manifestation :
21-03-2022 to 25-03-2022
Manifestation à portée :
International
Titre de l'ouvrage principal :
2022 IEEE Radar Conference (RadarConf22)
Maison d'édition :
IEEE
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Disponible sur ORBilu :
depuis le 27 décembre 2022

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