Cargando…

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

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-resolu...

Descripción completa

Detalles Bibliográficos
Autores principales: Köhler, Anselm, Lok, Lai Bun, Felbermayr, Simon, Peters, Nial, Brennan, Paul V., Fischer, Jan-Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664914/
https://www.ncbi.nlm.nih.gov/pubmed/33182236
http://dx.doi.org/10.3390/s20216373
_version_ 1783609918595530752
author Köhler, Anselm
Lok, Lai Bun
Felbermayr, Simon
Peters, Nial
Brennan, Paul V.
Fischer, Jan-Thomas
author_facet Köhler, Anselm
Lok, Lai Bun
Felbermayr, Simon
Peters, Nial
Brennan, Paul V.
Fischer, Jan-Thomas
author_sort Köhler, Anselm
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7664914
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-76649142020-11-14 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 Sensors (Basel) Article 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. MDPI 2020-11-09 /pmc/articles/PMC7664914/ /pubmed/33182236 http://dx.doi.org/10.3390/s20216373 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Köhler, 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
title mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements
title_full mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements
title_fullStr mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements
title_full_unstemmed mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements
title_short mGEODAR—A Mobile Radar System for Detection and Monitoring of Gravitational Mass-Movements
title_sort mgeodar—a mobile radar system for detection and monitoring of gravitational mass-movements
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664914/
https://www.ncbi.nlm.nih.gov/pubmed/33182236
http://dx.doi.org/10.3390/s20216373
work_keys_str_mv AT kohleranselm mgeodaramobileradarsystemfordetectionandmonitoringofgravitationalmassmovements
AT loklaibun mgeodaramobileradarsystemfordetectionandmonitoringofgravitationalmassmovements
AT felbermayrsimon mgeodaramobileradarsystemfordetectionandmonitoringofgravitationalmassmovements
AT petersnial mgeodaramobileradarsystemfordetectionandmonitoringofgravitationalmassmovements
AT brennanpaulv mgeodaramobileradarsystemfordetectionandmonitoringofgravitationalmassmovements
AT fischerjanthomas mgeodaramobileradarsystemfordetectionandmonitoringofgravitationalmassmovements