Analysis of Automotive Radar Interference in Complex Traffic Scenarios using Graph Theory

Torres, Lizette Lorraine Tovar; Waldschmidt, Christian

doi:10.23919/irs54158.2022.9905022

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…Some common and well know issues related to traditional RADAR, but that equally affect 4D RADAR performance are ghost objects, multi-path reflections, interference, and mirroring on objects such as road surface or guardrail. These noise factors are partially captured in Table III, but they require further explanation, given their frequency and also their relationship with specific scenarios (so in some cases they can be RADARs is not discussed [71]. It is possible that mutual interference would be slightly mitigated by the beamforming process in 4D RADAR (and reduced beam divergence), but to the best of the Authors' knowledge to date there are no specific studies to confirm this hypothesis.…”

Section: B Mirroring and Other Detrimental Effectsmentioning

confidence: 99%

A noise analysis of 4D RADAR: robust sensing for automotive?

Chan,

Shahbeigi Roudposhti,

et al. 2023

Preprint

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<p>The sensor suite for assisted and automated driving functions vehicle is critical to the function of a vehicle, but also the first and most important limitation to the level of automation that the system can achieve. The advancement of 4D RADARs, providing better resolution in both azimuth and elevation compared to traditional RADAR, can assist to achieve more robust situational awareness, whilst also providing more data for perception algorithms and sensor fusion. However, like all perception sensors, 4D RADAR is also affected by numerous noise factors. To explore the sources of noise, this work identifies, classifies, and analyses automotive 4D RADAR noise factors. Overall, 22 noise factors have been considered, in combination with their effect on six 4D RADAR outputs. Finally, this work also presents and applies, for the first time, a dissimilarity metric to collected 4D RADAR data in the presence of rain with different intensities. The proposed metric is used to assess the effect of noise on the variability of the measured data, in addition it can be used to compare any 4D RADAR data. The metric, combined with other pointcloud evaluations, shows that as rainrate intensifies, the size of the pointcloud decreases, but also the variation in the measurements increases. This work presents the importance of evaluating, companding, and quantifying noise for 4D RADAR, and can pave the way for more in depth analysis of its modelling and testing of 4D RADAR for assisted and automated driving functions.</p>

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Section: B Mirroring and Other Detrimental Effectsmentioning

confidence: 99%

A noise analysis of 4D RADAR: robust sensing for automotive?

Chan,

Shahbeigi Roudposhti,

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Among the advantages expected from this new band is an increased bandwidth of 7 GHz. It can be utilized to improve range resolution and interference avoidance, while angular resolution benefits from the reduced wavelength [23], [24]. from those advantages for fundamental radar systems, this potential new band represents a possibility for the tag-based detection of vulnerable road users to adhere to the regulations of the future frequency spectrum.…”

Section: Introductionmentioning

confidence: 99%

Connecting the Automotive Bands of Present and Future With a Tag for Inharmonic Radar at 76–81/134–141 GHz

Braun,

Schöpfel,

Bredendiek

et al. 2024

IEEE Microw. Wireless Tech. Lett.

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Vulnerable road users like pedestrians, pedal-, and motorcyclists have accounted for an increasing proportion of traffic fatalities in the last 15 years. Simultaneously, harmonic radar systems have been implemented for applications where distinction between specific targets and surrounding clutter is required. However, the doubled frequencies conventionally used in harmonic radar systems are not licensed for automotive applications. Connecting the 76-81 GHz automotive band with the 134-141 GHz currently going through regulation instead necessitates what we propose to call inharmonic radar. Therefore, an innovative frequency modulation instead of doubling is required. This modulation is achieved and presented in this work with an active tag based on a novel 1.75 times fractional frequency multiplier. It successfully implements the required frequency conversion upward of -53 dBm of input power with undesired spectral components suppressed by more than 20 dB.

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