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With modulation-based radar target simulators, complex traffic scenarios can be simulated for automotive radars at low costs. Yet the simulation principle relies on the timings of the chirp-sequence frequency modulated continous waveform. Since small timing variations can be purposely introduced on the radar's waveform e.g. for interference mitigation techniques, the assumption of ideal timings could be violated. Therefore, this paper investigates the influences of ramp timing deviations on the target simulation. A signal model for radar timing variations for modulation-based simulators is presented. Furthermore, the influence of ramp timings on the resulting signal-to-noise ratio of simulated target responses is derived and verified by measurements., acceptedVersion

The repeatability of radar sensor tests is of high importance, in order to allow for a better comparability. Guaranteeing consistent test conditions is therefore essential. This article describes a radar target simulator able to simulate a traffic scenario for chirp-sequence frequency modulated continuous wave radar sensors, based on measurement data. First, the system setup is briefly presented, that is used to generate the targets, afterwards the major challenges and required signal processing steps are laid out. Finally, a comparison between the original measured scenario data and the replayed version is conducted., acceptedVersion

Radar simulations of human targets can be deployed to reduce the measurement effort linked to dataset generation for tasks such as gesture or activity classification. However, simulations require realistic human motion data in order to capture the dynamics of the simulated activities. For this purpose, this paper proposes a stereo camera-based system that enables simultaneous recording of radar data and the corresponding human pose ground truth. By introducing a camera-radar calibration procedure, the 3D human poses and the radar system are synchronized both in time and space. Thus, the system enables the one-by-one re-simulation of the captured measurements for the investigation of simulation quality or sensor studies. The performance of the calibration procedure and the feasibility of direct re-simulations is shown with measurements of an exemplary gesture. In addition, the straightforward extension of the proposed approach to radar sensor networks is demonstrated., acceptedVersion