Mutual interference in automotive radar scenarios is going to become a major concern as the density of vehicles with radar sensors in the roads increases. The present work tackles the problem tackles the problem of frequency modulated continuous wave (FMCW) to FMCW interference. In this context, we propose a signal processing technique to blindly identify and remove interference by using the fast Orthogonal Matching Pursuit (OMP) algorithm to project the interference signals in a reduced chirplet basis, and separate it from the target signal with minimal loss of information. Significant reduction of the noise-plus-interference levels are observed in measured data acquired with state of the art automotive sensors.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Sparse Reconstruction of Chirplets for Automotive FMCW Radar Interference Mitigation


    Beteiligte:


    Erscheinungsdatum :

    2019-04-01


    Format / Umfang :

    1967163 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    ADAPTIVE FILTERING FOR FMCW INTERFERENCE MITIGATION IN PMCW RADAR SYSTEMS

    HARRIS FRED / TRAGER DAVID S / DAVIS CURTIS et al. | Europäisches Patentamt | 2017

    Freier Zugriff

    An MTI-Like Approach for Interference Mitigation in FMCW Radar Systems

    Lopez-Valcarcel, Luis A. / Garcia Sanchez, Manuel / Fioranelli, Francesco et al. | IEEE | 2024

    Freier Zugriff