As frequency modulated continuous wave (FMCW) radars are becoming a key component of autonomous driving technology, mutual interference among automotive FMCW radars is a significant challenge. In this work, we propose a novel signal processing solution to effectively mitigate mutual interference among FMCW radars. The proposed framework distinguishes the target echoes and interference using their characteristics in the time-frequency spectrum, both of which appear as lines but with different slope characteristics. An interference map is generated from the interference contaminated time-frequency spectrum by employing the Hough transform along with slope filtering. The interference map is then used as a mask for interference mitigation. The interference-mitigated signal is reconstructed by applying time-frequency ridge-based mapping to subjugate the power loss associated with the target signals. We carry out extensive simulations to demonstrate the interference mitigation capabilities of the proposed Hough trans-form and time-frequency ridge (HTFR)-based scheme in terms of the signal-to-interference plus noise ratio (SINR), correlation coefficient, and computational efficiency.


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    Titel :

    Hough Transform and Time-Frequency Ridge-Based Interference Mitigation in Automotive FMCW Radars


    Beteiligte:


    Erscheinungsdatum :

    24.06.2024


    Format / Umfang :

    770441 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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