Automotive Radar Signal Authentication via Correlation and Power Spectral Density

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dc.contributor.authorVishnu Prasad, P.
dc.contributor.authorVandana, G.S.
dc.contributor.authorNandagiri, A.
dc.contributor.authorSrihari, P.
dc.contributor.authorPardhasaradhi, B.
dc.contributor.authorCenkarmaddi, L.R.
dc.date.accessioned2026-02-06T06:34:06Z
dc.date.issued2024
dc.description.abstractBecause of their comprehensive target detection, classification, and tracking capabilities, mm-wave radars are becoming increasingly popular in advanced driver assistance systems (ADAS). Unfortunately, these radars are vulnerable to attacks such as jamming and spoofing. This research presents a simple and low-cost radar signal authentication method that can be used in automotive radar receivers that lack external hardware or networking systems. The proposed technique of detecting correlation and power spectral density (PSD) classifies incoming signals as interference-free or not, and it may be swiftly implemented via a firmware update. As an example, the Texas Instruments (TI) IWR1642 frequency modulated continuous wave (FMCW) radar is tested in both non-jamming and jamming situations. The return signals are processed to get the correlation and power spectral density (PSD) observations and thereby classify the signals. © 2024 IEEE.
dc.identifier.citationProceedings - 2024 13th IEEE International Conference on Communication Systems and Network Technologies, CSNT 2024, 2024, Vol., , p. 29-34
dc.identifier.urihttps://doi.org/10.1109/CSNT60213.2024.10546176
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/29049
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectAutocorrelation
dc.subjectFMCW radar
dc.subjectJamming
dc.subjectPower Spectral Density
dc.subjectradar spoofing
dc.titleAutomotive Radar Signal Authentication via Correlation and Power Spectral Density

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