Print Email Facebook Twitter CFAR-Based Interference Mitigation for FMCW Automotive Radar Systems Title CFAR-Based Interference Mitigation for FMCW Automotive Radar Systems Author Wang, J. (TU Delft Microwave Sensing, Signals & Systems) Date 2022 Abstract In this paper, constant false alarm rate (CFAR) detector-based approaches are proposed for interference mitigation of Frequency modulated continuous wave (FMCW) radars. The proposed methods exploit the fact that after dechirping and low-pass filtering operations the targets' beat signals of FMCW radars are composed of exponential sinusoidal components while interferences exhibit short chirp waves within a sweep. The spectra of interferences in the time-frequency (t-f) domain are detected by employing a 1-D CFAR detector along each frequency bin and then the detected map is dilated as a mask for interference suppression. The proposed approaches are applicable to the scenarios in the presence of multiple interferences. Compared to the existing methods, the proposed methods reduce the power loss of useful signals and are very computationally efficient. Their interference mitigation performances are demonstrated through both numerical simulations and experimental results. Subject Beat signalconstant false alarm rate (CFAR) detectorDetectorsFMCW radarinterference mitigationtime-frequency spectrum To reference this document use: http://resolver.tudelft.nl/uuid:3a326c93-ad32-49cd-8ae3-1987d4f1b3b5 DOI https://doi.org/10.1109/TITS.2021.3111514 Embargo date 2023-07-01 ISSN 1524-9050 Source IEEE Transactions on Intelligent Transportation Systems, 23 (8), 12229-12238 Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2022 J. Wang Files PDF CFAR_Based_Interference_M ... ystems.pdf 2.68 MB Close viewer /islandora/object/uuid:3a326c93-ad32-49cd-8ae3-1987d4f1b3b5/datastream/OBJ/view