Köhler, 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
, 20
(21)
, Article 6373. 10.3390/s20216373.
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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.
Type: | Article |
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Title: | mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.3390/s20216373 |
Publisher version: | https://doi.org/10.3390/s20216373 |
Language: | English |
Additional information: | This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | FMCW Radar; natural hazards; geophysical mass-movements; flow dynamics; movement detection |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10115209 |
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