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mGEODAR-A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements.
Köhler, Anselm; Lok, Lai Bun; Felbermayr, Simon; Peters, Nial; Brennan, Paul V; Fischer, Jan-Thomas.
Afiliação
  • Köhler A; Department of Natural Hazards, Austrian Research Centre for Forests (BFW), 6020 Innsbruck, Austria.
  • Lok LB; WSL-Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, Switzerland.
  • Felbermayr S; Department of Engineering, Lancaster University, Lancaster LA1 4YW, UK.
  • Peters N; Department of Natural Hazards, Austrian Research Centre for Forests (BFW), 6020 Innsbruck, Austria.
  • Brennan PV; Department of Mechatronic, Management Centre Innsbruck (MCI), 6020 Innsbruck, Austria.
  • Fischer JT; Department of Electronic and Electrical Engineering, University College London, London WC1E 6BT, UK.
Sensors (Basel) ; 20(21)2020 Nov 09.
Article em En | MEDLINE | ID: mdl-33182236
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Áustria

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Áustria