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mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements

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mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements. / Kohler, Anselm; Lok, Lai Bun; Felbermayr, Simon; Peters, Nial; Brennan, Paul V.; Fischer, Jan-Thomas.

In: Sensors, Vol. 20, No. 21, 6673, 09.11.2020.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Kohler, A, Lok, LB, Felbermayr, S, Peters, N, Brennan, PV & Fischer, J-T 2020, 'mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements', Sensors, vol. 20, no. 21, 6673. https://doi.org/10.3390/s20216373

APA

Kohler, A., Lok, L. B., Felbermayr, S., Peters, N., Brennan, P. V., & Fischer, J-T. (2020). mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements. Sensors, 20(21), [6673]. https://doi.org/10.3390/s20216373

Vancouver

Kohler A, Lok LB, Felbermayr S, Peters N, Brennan PV, Fischer J-T. mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements. Sensors. 2020 Nov 9;20(21). 6673. https://doi.org/10.3390/s20216373

Author

Kohler, Anselm ; Lok, Lai Bun ; Felbermayr, Simon ; Peters, Nial ; Brennan, Paul V. ; Fischer, Jan-Thomas. / mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements. In: Sensors. 2020 ; Vol. 20, No. 21.

Bibtex

@article{64b1caa560824d339008fc1164ac0717,
title = "mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements",
abstract = "Radar measurements of gravitational mass-movements like snow avalanches have become increasingly important for scientific flow observations, real-time detection and monitoring. Independence of visibility is a main advantage for rapid and reliable detection of those events, and achievable high-resolution imaging proves invaluable for scientific measurements of the complete flow evolution. Existing radar systems are made for either detection with low resolution or they are large devices and permanently installed at test-sites. We present mGEODAR, a mobile FMCW (frequency modulated continuous wave) radar system for high-resolution measurements and low-resolution gravitational mass-movement detection and monitoring purposes due to a versatile frequency generation scheme. We optimize the performance of different frequency settings with loop cable measurements and show the freespace range sensitivity with data of a car as moving point source. About 15 dB signal-to-noise ratio is achieved for the cable test and about 5 dB or 10 dB for the car in detection and research mode, respectively. By combining continuous recording in the low resolution detection mode with real-time triggering of the high resolution research mode,we expect that mGEODAR enables autonomous measurement campaigns for infrastructure safety and mass-movement research purposes in rapid response to changing weather and snow conditions.",
author = "Anselm Kohler and Lok, {Lai Bun} and Simon Felbermayr and Nial Peters and Brennan, {Paul V.} and Jan-Thomas Fischer",
year = "2020",
month = nov,
day = "9",
doi = "10.3390/s20216373",
language = "English",
volume = "20",
journal = "Sensors",
issn = "1424-8220",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "21",

}

RIS

TY - JOUR

T1 - mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements

AU - Kohler, Anselm

AU - Lok, Lai Bun

AU - Felbermayr, Simon

AU - Peters, Nial

AU - Brennan, Paul V.

AU - Fischer, Jan-Thomas

PY - 2020/11/9

Y1 - 2020/11/9

N2 - Radar measurements of gravitational mass-movements like snow avalanches have become increasingly important for scientific flow observations, real-time detection and monitoring. Independence of visibility is a main advantage for rapid and reliable detection of those events, and achievable high-resolution imaging proves invaluable for scientific measurements of the complete flow evolution. Existing radar systems are made for either detection with low resolution or they are large devices and permanently installed at test-sites. We present mGEODAR, a mobile FMCW (frequency modulated continuous wave) radar system for high-resolution measurements and low-resolution gravitational mass-movement detection and monitoring purposes due to a versatile frequency generation scheme. We optimize the performance of different frequency settings with loop cable measurements and show the freespace range sensitivity with data of a car as moving point source. About 15 dB signal-to-noise ratio is achieved for the cable test and about 5 dB or 10 dB for the car in detection and research mode, respectively. By combining continuous recording in the low resolution detection mode with real-time triggering of the high resolution research mode,we expect that mGEODAR enables autonomous measurement campaigns for infrastructure safety and mass-movement research purposes in rapid response to changing weather and snow conditions.

AB - Radar measurements of gravitational mass-movements like snow avalanches have become increasingly important for scientific flow observations, real-time detection and monitoring. Independence of visibility is a main advantage for rapid and reliable detection of those events, and achievable high-resolution imaging proves invaluable for scientific measurements of the complete flow evolution. Existing radar systems are made for either detection with low resolution or they are large devices and permanently installed at test-sites. We present mGEODAR, a mobile FMCW (frequency modulated continuous wave) radar system for high-resolution measurements and low-resolution gravitational mass-movement detection and monitoring purposes due to a versatile frequency generation scheme. We optimize the performance of different frequency settings with loop cable measurements and show the freespace range sensitivity with data of a car as moving point source. About 15 dB signal-to-noise ratio is achieved for the cable test and about 5 dB or 10 dB for the car in detection and research mode, respectively. By combining continuous recording in the low resolution detection mode with real-time triggering of the high resolution research mode,we expect that mGEODAR enables autonomous measurement campaigns for infrastructure safety and mass-movement research purposes in rapid response to changing weather and snow conditions.

U2 - 10.3390/s20216373

DO - 10.3390/s20216373

M3 - Journal article

VL - 20

JO - Sensors

JF - Sensors

SN - 1424-8220

IS - 21

M1 - 6673

ER -