TR2024-148
Spatial-Domain Mutual Interference Mitigation for MIMO-FMCW Automotive Radar
-
- "Spatial-Domain Mutual Interference Mitigation for MIMO-FMCW Automotive Radar", IEEE Transactions on Vehicular Technology, DOI: 10.1109/TVT.2024.3467917, September 2024.BibTeX TR2024-148 PDF
- @article{Jin2024sep,
- author = {Jin, Sian and Wang, Pu and Boufounos, Petros T. and Orlik, Philip V. and Takahashi, Ryuhei and Roy, Sumit}},
- title = {Spatial-Domain Mutual Interference Mitigation for MIMO-FMCW Automotive Radar},
- journal = {IEEE Transactions on Vehicular Technology},
- year = 2024,
- month = sep,
- doi = {10.1109/TVT.2024.3467917},
- issn = {1939-9359},
- url = {https://www.merl.com/publications/TR2024-148}
- }
,
- "Spatial-Domain Mutual Interference Mitigation for MIMO-FMCW Automotive Radar", IEEE Transactions on Vehicular Technology, DOI: 10.1109/TVT.2024.3467917, September 2024.
-
MERL Contacts:
-
Research Areas:
Abstract:
This paper considers mutual interference mitigation among automotive radars using frequency-modulated continu-ous wave (FMCW) signal and multiple-input multiple-output (MIMO) virtual arrays. For the first time, we derive a spatial- domain interference signal model that accounts for not only the time-frequency incoherence (e.g., different FMCW parameters and time offsets) but also the slow-time MIMO code incoherence and array configuration differences between the victim and interfering radars. Using the explicit interference signal model with the standard MIMO-FMCW object signal model, we turn the interference mitigation into a spatial-domain object detection under incoherent MIMO-FMCW interference. By exploiting the structural property of the derived interference model at both transmit and receive steering vector space, we derive a detector via beamforming optimization to achieve good detection performance and further propose an adaptive version of this detector to enhance its practical applicability. Performance evaluation using analytical closed-form expressions, synthetic-level simulation and system-level simulation confirms the effectiveness of our proposed detectors over selected baseline methods.