Issue |
E3S Web Conf.
Volume 12, 2016
i-DUST 2016 – Inter-Disciplinary Underground Science & Technology
|
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Article Number | 01001 | |
Number of page(s) | 6 | |
Section | Geological Reservoirs | |
DOI | https://doi.org/10.1051/e3sconf/20161201001 | |
Published online | 05 December 2016 |
Progress on Ultra-Wideband (UWB) Multi-Antenna radar imaging for MIGA
1 Department of Electrical and Computer Engineering, University of British Columbia, 2332 Main Mall Vancouver, B.C. V6T 1Z4, Canada
2 Laboratoire d'Electronique, Antennes et Télécommunications (LEAT) Université Nice – Sophia Antipolis, CNRS Bât. Forum, Campus SophiaTech, 930 Route des Colles, 06903 Sophia Antipolis, France
3 CREWES (Consortium for Research in Elastic Wave Exploration Seismology) Department of Geoscience University of Calgary, 2332 Main Mall Calgary, Alberta, T2N 1N4, Canada
4 Low Background Noise Inter-disciplinary Underground Science and Technology, LSBB Underground Research Laboratory, UMS3538 AMU/CNRS/UAPV/UNS La Grande Combe, 84400 Rustrel, France
GEOAZUR, UMR 7329 UNS/CNRS/IRD/OCA, 250 rue Albert Einstein, Bât. 4, Sophia-Antipolis, 06560 Valbonne, France
a Corresponding author: matty@ece.ubc.ca
Progress on the development of the multi-channel, ground penetrating radar imaging system is presented from hardware and software perspectives. A new exponentially tapered slot antenna, with an operating bandwidth from 100 MHz to 1.5 GHz was fabricated and tested using the eight-port vector network analyzer, designed by Rhode and Schwarz Incorporated for this imaging project. An eight element antenna array mounted on two carts with automatic motor drive, was designed for optimal common midpoint (CMP) data acquisition. Data acquisition scenarios were tested using the acoustic version of the NORSAR2D seismic ray-tracing software. This package enables the synthesis and analysis of multi-channel, multi-offset data acquisitions comprising more than a hundred thousand traces. Preliminary processing is in good agreement with published bistatic ground-penetrating radar images obtained in the tunnels of the Low-noise Underground Laboratory (LSBB) at Rustrel, France.
© The Authors, published by EDP Sciences 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).