Evaluation of probability of interference-related ghost targets in automotive radars

Hahmann, Konstantin; Schneider, Stefan; Zwick, Thomas

doi:10.1109/icmim.2018.8443536

Cited by 8 publications

(2 citation statements)

References 4 publications

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“…All parameters belonging to one specific interference incident share the same index k. Since automotive radars often have multiple transmitters using time-domain multiplexing (TDM) or frequency-domain multiplexing (FDM) for larger virtual apertures, each interference incident usually does not affect all host channels at the same time but affects only a group of channels assigned to one host transmitter m. In order to estimate the interference power I k of an individual interference incident, its duration T I,k , its starting time t start , k in relation to the host-chirp, its end time t end,k , as well as the number i k of the host-chirp in which the incident appeared must be known. These parameters as well as the affected group of channels m are extracted using a geometric model based on [11]: The host-chirps are represented by vectors forming parallelograms in the time-frequency domain. The interferer-chirps are represented by lines as depicted in Fig.…”

Section: Interference Power Estimation For Single Channelsmentioning

confidence: 99%

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Analysis of Interference Between Vast Numbers of Automotive Radars Considering Stochastic Temporal Conditions

Hahmann¹,

Schneider²,

Zwick³

2020

PIER M

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With a constantly increasing number of cars equipped with 77 GHz automotive radar, the performance degrading effects of crosstalk are becoming a rising threat to radar-enabled automated driving functions. Since interference is sensitive to slight changes of temporal and spatial conditions of the scenario, meaningful measurements are hard to conduct which is why simulations are an important supplement. In this paper, a simulation model is introduced that estimates the distribution of the reduction of the detection range of automotive radars due to multiple interferers focusing on stochastic temporal conditions. The underlying system model calculates the direction-and timing-dependent influence of one single interferer on the detection range of the host radar. The model is kept simple, making it suitable for Monte Carlo methods, which allow the indispensable statistical evaluation of the broadly spread results. Finally, a method is presented that transfers multiple statistics regarding single interferers into a single environment. The computing time of the simulation grows linearly with the number of interfering radars, so the effects of vast numbers of interferers can be studied using this simulation model. Statistical evaluations of the detection performance degradation of a front-mounted radar in sample highway scenarios, containing up to ten interfering radar sensors, are performed in this paper.

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Section: Interference Power Estimation For Single Channelsmentioning

confidence: 99%

“…In contrast, in this paper, spatial conditions of the scenarios remain unchanged while the timing of the transmission of the radar sensors is randomized. Simple models for statistical interference evaluation have been presented in [11,12] based on the work in [13].…”

Section: Introductionmentioning

confidence: 99%