Accurate and Robust Displacement Measurement for FMCW Radar Vibration Monitoring

Xiong, Yuyong; Peng, Zhike; Xing, Guanpei; Wen-ming, Zhang; Meng, Guang

doi:10.1109/jsen.2017.2778294

Cited by 68 publications

(15 citation statements)

References 25 publications

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“…In Section 1 the capability of a Radar system to detect small vibrations is described, but the technique used for the extraction of the information can be different from technology to technology. In the case of an automotive Radar, like the one used in this work, the vibration signal can be extracted from the phase of the Beat signal [47]. Typically, an FMCW transmitted signal is composed of up-chirps and down-chirps but, as described in the previous paragraph, the tested system can transmit only up-chirps, so the signal model used in this section refers only to this configuration.…”

Section: Radar Signal Processingmentioning

confidence: 99%

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Performance Evaluation of Vibrational Measurements through mmWave Automotive Radars

et al. 2020

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Thanks to the availability of a significant amount of inexpensive commercial Frequency Modulated Continuous Wave Radar sensors, designed primarily for the automotive domain, it is interesting to understand if they can be used in alternative applications. It is well known that with a radar system it is possible to identify the micro-Doppler feature of a target, to detect the nature of the target itself (what the target is) or how it is vibrating. In fact, thanks to their high transmission frequency, large bandwidth and very short chirp signals, radars designed for automotive applications are able to provide sub-millimeter resolution and a large detection bandwidth, to the point that it is here proposed to exploit them in the vibrational analysis of a target. The aim is to evaluate what information on the vibrations can be extracted, and what are the performance obtainable. In the present work, the use of a commercial Frequency Modulated Continuous Wave radar is described, and the performances achieved in terms of displacement and vibration frequency measurement of the target are compared with the measurement results obtained through a laser vibrometer, considered as the reference instrument. The attained experimental results show that the radar under test and the reference laser vibrometer achieve comparable outcomes, even in a cluttered scenario.

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Section: Radar Signal Processingmentioning

confidence: 99%

“…In Equation 20, τ 2 is neglected because too smaller with respect τt, and also x(t) can be assumed constant inside a chirp, so the variation can be seen only along with different chirps (slow-time dimension). As also described in [47], it is possible to write the Beat singal in terms of the slow-time and the fast-time:…”

Section: Radar Signal Processingmentioning

confidence: 99%

Performance Evaluation of Vibrational Measurements through mmWave Automotive Radars

et al. 2020

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“…It is also highly attractive to design a FMCW radar with low cost. USRPs from National Instruments Corporation (NI) are used in [6,19,20]. With LabVIEW [21], a radio system for detecting underground targets has been successfully built.…”

Section: Related Workmentioning

confidence: 99%

A Software-Synchronization Based, Flexible, Low-Cost FMCW Radar

Wang

et al. 2020

IEEE Access

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“…Reference [11] describes the signal processing parts required for real time vibration monitoring of targets, using an FMCW radar system. The information about displacement or vibration is extracted from the interferometric phase of the beat signal.…”

Section: Introductionmentioning

confidence: 99%

Pulse Radar with Field-Programmable Gate Array Range Compression for Real Time Displacement and Vibration Monitoring

Tudose

Anghel

Cacoveanu

et al. 2018

Sensors

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This paper aims to present the basic functionality of a radar platform for real time monitoring of displacement and vibration. The real time capabilities make the radar platform useful when live monitoring of targets is required. The system is based on the RF analog front-end of a USRP, and the range compression (time-domain cross-correlation) is implemented on the FPGA included in the USRP. Further processing is performed on the host computer to plot real time range profiles, displacements, vibration frequencies spectra and spectrograms (waterfall plots) for long term monitoring. The system is currently in experimental form and the present paper aims to prove its functionality. The precision of this system is estimated (using the 3σ approximation) at 0.6 mm for displacement measurements and 1.8 mm for vibration amplitude measurements.

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Accurate and Robust Displacement Measurement for FMCW Radar Vibration Monitoring

Cited by 68 publications

References 25 publications

Performance Evaluation of Vibrational Measurements through mmWave Automotive Radars

Performance Evaluation of Vibrational Measurements through mmWave Automotive Radars

A Software-Synchronization Based, Flexible, Low-Cost FMCW Radar

Pulse Radar with Field-Programmable Gate Array Range Compression for Real Time Displacement and Vibration Monitoring

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