TR2022-029

Automotive Radar Interference Mitigation with Fast-Time-Frequency Mode Retrieval


    •  Jin, S., Pu, W., Boufounos, P.T., Orlik, P.V., Roy, S., "Automotive Radar Interference Mitigation with Fast-Time-Frequency Mode Retrieval", IEEE Radar Conference (RadarCon), March 2022.
      BibTeX TR2022-029 PDF
      • @inproceedings{Jin2022mar,
      • author = {Jin, Sian and Pu, Wang and Boufounos, Petros T. and Orlik, Philip V. and Roy, Sumit},
      • title = {Automotive Radar Interference Mitigation with Fast-Time-Frequency Mode Retrieval},
      • booktitle = {IEEE Radar Conference (RadarCon)},
      • year = 2022,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2022-029}
      • }
  • MERL Contacts:
  • Research Areas:

    Communications, Computational Sensing, Signal Processing

Abstract:

This paper considers mutual interference mitigation
(MIM) for frequency modulated continuous wave (FMCW) automotive radar. Particularly, we exploit distinguished features of target and interference components in the fast-time-frequency
(fTF) representation and, as opposed to existing fast-time MIM methods on nulling the interference component, propose to directly recover the underwhelmed target component via the fast-time-frequency mode retrieval (fTFMR). This is achieved by utilizing the Fourier synchrosqueezed transform (FSST) and introducing robust ridge detection that, in combination, guarantees that the recovered fast-time errors of the target signal are bounded at separable time intervals. Comprehensive performance comparison with a list of baseline methods shows that the proposed MIM method yields higher output signal-to- interference-noise ratios (SINRs) at both the range and velocity domains and reduces the false alarm.