TR2022-067

Spatial-Domain Mutual Interference Mitigation for Slow-Time MIMO-FMCW Automotive Radar


    •  Jin, S., Pu, W., Boufounos, P.T., Orlik, P.V., Takahashi, R., Roy, S., "Spatial-Domain Mutual Interference Mitigation for Slow-Time MIMO-FMCW Automotive Radar", IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), June 2022.
      BibTeX TR2022-067 PDF
      • @inproceedings{Jin2022jun,
      • author = {Jin, Sian and Pu, Wang and Boufounos, Petros T. and Orlik, Philip V. and Takahashi, Ryuhei and Roy, Sumit},
      • title = {Spatial-Domain Mutual Interference Mitigation for Slow-Time MIMO-FMCW Automotive Radar},
      • booktitle = {IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)},
      • year = 2022,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2022-067}
      • }
  • MERL Contacts:
  • Research Areas:

    Communications, Computational Sensing, Signal Processing

Abstract:

This paper considers mutual interference mitigation among automotive radars using frequency modulated continuous wave (FMCW) for the signaling scheme and multiple-input multiple-output (MIMO) for achieving a virtual array. For the first time, we derive a general interference signal model that fully accounts for not only the time-frequency incoherence, but also the slow-time code incoherence. Together with a standard MIMO-FMCW object signal model, we formulate the interference mitigation as a spatial-domain detection problem and propose a generalized likelihood ratio test (GLRT) detector. Moreover, we derive the exact theoretical performance of the proposed GLRT detector, proving that it is a constant false alarm rate (CFAR) detector against MIMO-FMCW mutual interference. Preliminary numerical results confirm the performance of our proposed detector and show advantages to baseline detectors.