Influence of vibrations on the signals of automotive integrated radar sensors

Hau, Florian; Baumgärtner, F.; Vossiek, Martin

doi:10.1109/icmim.2017.7918881

Cited by 14 publications

(7 citation statements)

References 3 publications

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“…It is highlighted that the main anomalies and faults associated with monitoring system can be listed [159] as mechanical faults regarding to the mechanical structure of the apparatus (e.g. degradation of materials [160], vibrations, external shocks [161]), electrical faults that affect the electrical properties of the device (e.g. loss of insulation [162,163], anomalous measurement residual [164] due to blackout or overloading of the device) and other faults, that can affect the measurement due for example to noise [165], reading errors (value read by the device different from the actual one due to a change in gain) [166], calibration losses or performance degradation [167].…”

Section: Research Highlightsmentioning

confidence: 99%

A Survey on Anomalies and Faults that may Impact the Reliability of Renewable-based Power Systems

Mariani,

Adinolfi,

Buonanno

et al. 2024

Preprint

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The decarbonization of the electricity grid as one among the actions to reduce fossil fuel emissions, and thus their impact on global warming in the future, will be achieved mainly via the integration and widespread diffusion of renewable power sources. This is going to be supported also by the shift from the paradigm production-transmission-distribution, where electricity production oversees large-size power plants, to renewable-based distributed/diffused production, where electricity is generated very close or even by the same (group of) user(s) (or prosumers in the latter case). The number of mid-/small-size installations based on renewable energy technologies will therefore increase substantially, and the related renewable generation will be dominant against that from large-size power plants. Unfortunately, this will reduce the reliability of the grid very likely, unless appropriate countermeasures are taken/implemented, hopefully at the same time the paradigm shift is being achieved. To this aim, it is important to identify the anomalies and main fault causes that might determine in renewable-based power systems. This paper surveys the current state-of-the-art on anomalies and faults affecting wind-PV-storage hybrid power systems, i.e., the main renewable technology ensemble that will establish the future grid, and highlights possible research directions that may help to fill the literature gaps.

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Section: Research Highlightsmentioning

confidence: 99%

A Survey on Anomalies and Faults that may Impact the Reliability of Renewable-based Power Systems

Mariani,

Adinolfi,

Buonanno

et al. 2024

Preprint

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“…The description of complex movements requires an extended time model for the beat signal [24]. In most cases, it is assumed that the transmitter and receiver are located at the same point in space.…”

Section: Advanced Beat Signal Modelmentioning

confidence: 99%

The Degradation of Automotive Radar Sensor Signals Caused by Vehicle Vibrations and Other Nonlinear Movements

Hau

Baumgärtner

Vossiek

2020

Sensors

Self Cite

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As the demands on modern radar systems with respect to accuracy, reliability, and availability increase, a detailed assessment of the influence of nonlinear movements has become necessary. In particular, from the point of view of radar, different types of movements, such as any kind of acceleration, braking situation, or vehicle vibration, are essential parts of any traffic scenario. These unavoidable motions, in which the relative velocity changes within one measurement cycle, are called nonlinear movements. These nonlinearities contribute to intermediate frequencies, which are comparable to the extensively described nonlinearities of a frequency ramp. This additional contribution to the intermediate signal has a direct effect on the signal-to-noise ratio and thus on the accuracy and probability of target detection. This paper presents a study of various types of nonlinear motion and a detailed definition of the resulting parameters based on a variety of vehicle-based measurements. An advanced signal model of frequency-modulated continuous wave (FMCW) radar is introduced and verified in addition to a detailed mathematical description of spectral signal behaviour in sinusoidal motions and linear acceleration. The theoretical and experimental results in idealised point targets are transferred to real complex road users. Furthermore, by applying established automotive signal processing steps in the form of an ordered statistical constant false alarm rate (OS CFAR), the consequences of determining the noise level are also shown. In combination with the already introduced signal behaviour, these results enabled general description of the signal-to-noise ratio of nonlinear movements in complex traffic scenarios.

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“…They used a shaker to excite a radar in a vertical fashion and found that the angle deviation lies between −0.1 • to 0.2 • , which is negligible for automotive radar. Hau et al [9] simulated vibrations of an automotive chirp-sequence FMCW radar. This was followed by a more thorough study [10], where they developed the theory further and used a shaker to introduce sinusoidal movement.…”

Section: Introductionmentioning

confidence: 99%

Automotive Lidar and Vibration: Resonance, Inertial Measurement Unit, and Effects on the Point Cloud

Schlager

Goelles

Behmer

et al. 2022

IEEE Open J. Intell. Transp. Syst.

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Lidar is an important component of the perception suite for automated systems. The effects of vibration on lidar point clouds are mostly unknown, despite the lidar's wide adaption and usual application under conditions where vibration occurs frequently. In this study, we performed controlled vibration tests from 6 to 2000 Hz at 9 and 12 m/s 2 in vertical direction on the automotive lidar OS1-64 by Ouster. An information loss emerged which is mostly independent from frequency and acceleration. The loss of points is randomly distributed and does not correlate with range, intensity, or ring number (the horizontal line of the rotating lidar unit). The resonance frequency of 1426 Hz proved to be unproblematic as no pronounced negative effects on the point cloud could be identified. For vibration detection, the internal Inertial Measurement Unit (IMU) of the OS1-64 is accurate and sufficient for vibrations up to 50 Hz. Above 50 Hz, external IMUs would be required for vibration detection. Counting the number of points on a target close to the edges was investigated as an exemplary way to detect vibration purely based on the point cloud, i.e., independent of the lidar's IMU.

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Influence of vibrations on the signals of automotive integrated radar sensors

Cited by 14 publications

References 3 publications

A Survey on Anomalies and Faults that may Impact the Reliability of Renewable-based Power Systems

A Survey on Anomalies and Faults that may Impact the Reliability of Renewable-based Power Systems

The Degradation of Automotive Radar Sensor Signals Caused by Vehicle Vibrations and Other Nonlinear Movements

Automotive Lidar and Vibration: Resonance, Inertial Measurement Unit, and Effects on the Point Cloud

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