In-Situ Time-Frequency Analysis of the 77 GHz Bands using a Commercial Chirp-Sequence Automotive FMCW Radar Sensor

Gardill, Markus; Schwendner, Johannes; Fuchs, Jonas

doi:10.1109/mwsym.2019.8700983

Cited by 11 publications

(2 citation statements)

References 5 publications

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“…Moreover, paths are highlighted, which do not exceed the noise power level P n of the thermal noise floor in compliance with P n = kTB = −174 dBm Hz −1 +10 lg(B BB ) = −107 dBm with a baseband bandwidth B BB of 5 MHz. A bandwidth of 5 MHz is chosen as it corresponds to two times the lowpass cutoff frequency (f cutoff = 2.5 MHz) of a common FMCW-based system (Gardill et al, 2019).…”

Section: Simulation Environment -Winprop Configurationmentioning

confidence: 99%

Antenna Setup for Future Joint Radar-Communications – Characteristics and Mounting Positions

et al. 2023

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Abstract. The development of millimeter wave systems is driven by the strong trend toward new communications generations and especially by the emerging joint radar and communications design approach. Safety-critical applications like platooning or intersection assistance will significantly benefit from the combination of sensing and communications. While radar performs a channel measurement and thus, needs a wide field of view (especially in city/intersection scenarios), communications aims to minimize the interference for other not addressed receivers (e. g. in a platoon) by a focused antenna design. The proposed work extends the analysis of the influence of various antenna positioning for a typical automotive scene by taking also different characteristics (antenna gain, half power beamwidth, and sidelobe level) into account. Hereby, it is mandatory to investigate the communications and sensing performance simultaneously. The positions at the front bumper – typical for radar sensors – and especially at the left mirror convinced regarding the vehicular communications as well as the sensing behaviour. Applying focused antennas is promising, however, has also limits if the signals are not received out of the main beam but out of the sidelobes, resulting in a critical communications performance. Thus, beam steering is recommended to be applied in the future.

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Section: Simulation Environment -Winprop Configurationmentioning

confidence: 99%

Antenna Setup for Future Joint Radar-Communications – Characteristics and Mounting Positions

et al. 2023

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“…Separate from spoofing literature, the related problem of FMCW parameter estimation and synchronization has been examined. Gardill et al proposed a method of finding an unknown FMCW signal by analyzing the time-frequency spectrum of interference when mixed with a local fast-sweeprate FMCW signal [14]. Their study was then extended to demonstrate how such a tactic could be used to first estimate signal parameters, switch the local mixer to a CW signal to obtain precise timing, and then switch the local mixer to a time-aligned replica of the transmitted signal [15].…”

Section: Introductionmentioning

confidence: 99%

Signal Identification and Entrainment for Practical FMCW Radar Spoofing Attacks

Graff,

Humphreys

2023

2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)

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This paper proposes a method of passively estimating the parameters of frequency-modulated-continuous-wave (FMCW) radar signals with a wide range of structural parameter values and analyzes how a malicious actor could employ such estimates to track and spoof a target radar. When radars are implemented to support automated driver assistance systems, an intelligent spoofer has the potential to substantially disrupt safe navigation by inducing its target to perceive false objects. Such a spoofer must acquire highly accurate estimates of the target radar's chirp sweep, timing, and frequency parameters while additionally tracking and compensating for time and Doppler shifts due to clock errors and relative movement. This is a difficult task for millimeter-wave radars due to severe Doppler shifts and fast sweep rates, especially when the spoofer uses off-the-shelf FMCW equipment. Algorithms and techniques for acquiring and tracking an FMCW radar are proposed and verified through simulation, which will help guide future decisions on appropriate radar spoofing countermeasures.

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Automotive Radar Signal and Interference Simulation for Testing Autonomous Driving

Prinz

Peters

Schwendner³

et al. 2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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In-Situ Time-Frequency Analysis of the 77 GHz Bands using a Commercial Chirp-Sequence Automotive FMCW Radar Sensor

Cited by 11 publications

References 5 publications

Antenna Setup for Future Joint Radar-Communications – Characteristics and Mounting Positions

Antenna Setup for Future Joint Radar-Communications – Characteristics and Mounting Positions

Signal Identification and Entrainment for Practical FMCW Radar Spoofing Attacks

Automotive Radar Signal and Interference Simulation for Testing Autonomous Driving

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