Moussa, A. and Liu, W. orcid.org/0000-0003-2968-2888 (2020) Fast and accurate range-Doppler estimation in multi-target wideband automotive FMCW radar. In: 2020 International Conference on UK-China Emerging Technologies (UCET). 2020 International Conference on UK-China Emerging Technologies (UCET), 20-21 Aug 2020, Glasgow, UK. IEEE ISBN 9781728194899
Abstract
This paper studies the application of wideband frequency-modulated continuous-wave (FMCW) radar where the received signals are sampled first before processing. It is shown that sampling at a rate of the same order as the transmitted signal bandwidth and reducing the processed fast-time interval, helps resolve the effect of some unwanted artifacts accompanied with increasing the bandwidth and the target’s radial velocity. A signal model is first developed to capture range and velocity parameters, and upper bounds are then defined on the bandwidth that separate the wideband scenario from the narrowband one; finally a novel two-stage multiple signal classification (MUSIC) based algorithm is proposed and simulation results are provided to demonstrate its performance.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | FMCW radar; MUSIC; range-Doppler |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council 2284473 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Oct 2020 09:43 |
Last Modified: | 29 Sep 2021 00:38 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/ucet51115.2020.9205374 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:166379 |