A Mutual Interference Mitigation Algorithm for Dense On-Road Automotive Radars Scenario

dc.contributor.authorKumuda, D.K.
dc.contributor.authorSrihari, P.
dc.contributor.authorSeshagiri, D.
dc.contributor.authorRaju, M.K.
dc.contributor.authorPardhasaradhi, B.
dc.date.accessioned2026-02-06T06:34:47Z
dc.date.issued2023
dc.description.abstractThe mmWave frequency modulated continuous wave (FMCW) radars are widely adopted in the automotive industry because they work in all weather conditions. Due to the increased on-road density of mmWave radars, the primary radar mounted on the ego vehicle faces mutual interference. The traditional detection scheme employs a one-dimension fast Fourier transform (FFT) followed by a constant false alarm rate (CFAR) on the intermediate frequency (IF) signal to get the target detections. In the case of mutual interference, the IF signals behavior is abnormal and leads to miss-detection and false detections within the traditional framework. We propose a weighted beat signal normalization algorithm on the intermediate frequency (IF) signal followed by a traditional detection scheme as a mutual interference mitigation mechanism. This methodology implementation is easy since it does not disturb any processing modules like the mixer, LPF, FFT, and CFAR blocks in the architecture. The results demonstrate that, the SINR increases by the proposed method thereby minimizing the probability of missing the target detection. © 2023 IEEE.
dc.identifier.citationProceedings of CONECCT 2023 - 9th International Conference on Electronics, Computing and Communication Technologies, 2023, Vol., , p. -
dc.identifier.urihttps://doi.org/10.1109/CONECCT57959.2023.10234787
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/29447
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectCFAR
dc.subjectFMCW radar
dc.subjectIF signal
dc.subjectmutual interference
dc.subjectweighted beat signal normalization
dc.titleA Mutual Interference Mitigation Algorithm for Dense On-Road Automotive Radars Scenario

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