Unlimited sampling for FMCW radars: a proof of concept
File(s)
Author(s)
Feuillen, Thomas
Alaee-Kerahroodi, Mohammad
Bhandari, Ayush
Shankar, Bhavani MR
Ottersten, Bjorn
Type
Conference Paper
Abstract
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.
Date Issued
2022-05-03
Date Acceptance
2022-03-01
Citation
2022 IEEE Radar Conference (RadarConf22), 2022, pp.1-5
ISSN
1097-5764
Publisher
IEEE
Start Page
1
End Page
5
Journal / Book Title
2022 IEEE Radar Conference (RadarConf22)
Copyright Statement
Copyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000821555200148&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Source
IEEE Radar Conference (RadarConf) 2022
Subjects
Engineering
Engineering, Electrical & Electronic
Physical Sciences
Physics
Physics, Applied
Science & Technology
Technology
Telecommunications
Publication Status
Published
Start Date
2022-03-21
Finish Date
2022-03-25
Coverage Spatial
New York, NY, USA