Estimation of the Influence of Incoherent Interference on the Detection of Small Obstacles with a DBF Radar

Hahmann, Konstantin; Schneider, Stefan; Zwick, Thomas

doi:10.1109/icmim.2019.8726535

Cited by 1 publication

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The calculation of the window gain G win,k requires the values of t start,k , t end,k , and i k as input. The anti-aliasing filter gain G AAF ,k is a function of t I,k [12]. The effective isotropic radiated power P I,EIRP of the interference source received by the host is determined using the one-way radar range equation as depicted in [13]:…”

Section: Interference Power Estimation For Single Channelsmentioning

confidence: 99%

“…With the large number of chirps transmitted by automotive radars, multiple interference incidents are likely to appear in each measurement cycle. The interference power for each group of channels is estimated by summing up the interference power of all interference incidents in these channels [12].…”

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%

See 2 more Smart Citations

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

Hahmann¹,

Schneider²,

Zwick³

2020

PIER M

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Interference Power Estimation For Single Channelsmentioning

confidence: 99%

Section: Interference Power Estimation For Single Channelsmentioning

confidence: 99%