IMIKO-Radar Project: Laboratory Interference Measurements of Automotive Radar Sensors

Ossowska, Alicja; Sit, Leen; Manchala, Sarath; Vogler, T.; Krupinski, Kevin; Luebbert, Urs

doi:10.23919/irs48640.2020.9253845

Cited by 2 publications

(1 citation statement)

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“…The synchronization delay could be effectively managed through cellular network technologies. The studies from [7], [8] have shown that an increased number of radar sensors can lead to an increased noise floor due to interference, which can reduce the detection quality of the sensors. Although FMCW radar technology and its interference behavior have already been investigated in the automotive field, few research results are available on the indoor interference behavior of FMCW radars [7], [9], [10].…”

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confidence: 99%

Evaluation of the Interference Performance of FMCW Radar Sensors in Dense Indoor Environments

Reitz,

Künzle,

Franchi

et al. 2024

IEEE Access

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Frequency-modulated continuous-wave (FMCW) radars are becoming increasingly important in industrial applications due to their low cost, simple signal processing, and high resolution. The research is driven by the growing trend of radar applications in industrial settings, including tasks like autonomous robot navigation, radar-based monitoring of humans, and enhancing safety across various scenarios, such as smart factories, traffic control, or environmental monitoring. The network of distributed sensor nodes is a feature to be implemented by the sixth generation of wireless mobile networks. As a result, 6G will become an enabler technology that will develop even further use cases and advance the expansion of these technologies. Therefore, the mutual interference of these sensor systems is becoming highly relevant since they can be avoided by scheduling the individual resources of the sensor nodes by a network structure. This paper investigates the interference behavior of FMCW radar sensors in a dense indoor scenario. In these environments, in particular, the reliability of the sensor system plays an important role, and disruption can have critical consequences like not recognizing a target, triggering a false alarm, or the complete failure of the sensing. To correctly classify the expected interference in the overall context, the paper investigates the physical layer effects on the performance, such as multipath propagation, channel spread, delay, Doppler shift, and attenuation. By evaluating these effects using state-of-the-art signal processing, it was revealed that a high channel spread in particular and the dynamics of the radar channel can significantly reduce the detection quality, as the interference power can exceed the received power by up to 20 dB, depending on the scenario. The simulation results given in this paper show that a potential communication between the radars and compliance with a synchronization delay, the interference problems can be reliably prevented with an appropriately designed anti-aliasing filter. Our simulations have quantified the detection performance under interference through the entire signal chain by evaluating the physical layer, the radar signal processing with non-idealities, and the hardware. The paper has investigated interference probability in indoor environments by examining radars with uncoordinated transmissions. Integrating findings from the physical propagation characteristics, the deviations in chirp durations, and the frequency of interference cases offers insights into the potential risk of interference.

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