TR2022-029
Automotive Radar Interference Mitigation with Fast-Time-Frequency Mode Retrieval
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- "Automotive Radar Interference Mitigation with Fast-Time-Frequency Mode Retrieval", IEEE Radar Conference (RadarCon), DOI: 10.1109/RadarConf2248738.2022.9764338, 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,
- doi = {10.1109/RadarConf2248738.2022.9764338},
- isbn = {978-1-7281-5368-1},
- url = {https://www.merl.com/publications/TR2022-029}
- }
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- "Automotive Radar Interference Mitigation with Fast-Time-Frequency Mode Retrieval", IEEE Radar Conference (RadarCon), DOI: 10.1109/RadarConf2248738.2022.9764338, March 2022.
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MERL Contacts:
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Research Areas:
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.