Abstract
A new global navigation satellite system (GNSS) dataset of digitized RF signals named the Oak Ridge Spoofing and Interference Test Battery (OAKBAT) has been created. OAKBAT contains digitized spoofing signals that serve as both a supporting “sibling,” and an advancement to the widely used Texas Spoofing Test Battery (TEXBAT) dataset [1]. OAKBAT at its core was developed to 1) allow for 100% reproducibility of the data, 2) provide more detailed metadata and contextual information about each dataset such as the precise moment the spoofing and/or interference signals begins, positions used, constellations visible, etc., and 3) to provide datasets generated using the same key parameters as the TEXBAT ds1 through ds6 datasets. Through these “sibling” datasets it will now be possible to determine if the behavior of algorithms and designs developed utilizing these datasets are affected by possible intrinsic behavior and properties of the equipment used in the generation and digitization of either of the two datasets. The end goal of OAKBAT is to be a new resource for the community of researchers and developers working in the field of GNSS. This additional source of data provides a GNSS “playground” on which to experiment, explore, and evaluate new ideas.
Original language | English |
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Title of host publication | Proceedings of the 33rd International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2020 |
Publisher | Institute of Navigation |
Pages | 3697-3712 |
Number of pages | 16 |
ISBN (Electronic) | 0936406267, 9780936406268 |
DOIs | |
State | Published - 2020 |
Event | 33rd International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2020 - Virtual, Online Duration: Sep 22 2020 → Sep 25 2020 |
Publication series
Name | Proceedings of the 33rd International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2020 |
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Conference
Conference | 33rd International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2020 |
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City | Virtual, Online |
Period | 09/22/20 → 09/25/20 |
Funding
Research sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U. S. Department of Energy. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).
Funders | Funder number |
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U. S. Department of Energy | |
US Department of Energy | |
U.S. Department of Energy | |
Oak Ridge National Laboratory |
Fingerprint
Dive into the research topics of 'A tool for furthering GNSS security research: The oak ridge spoofing and interference test battery (OAKBAT)'. Together they form a unique fingerprint.Datasets
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Oak Ridge Spoofing and Interference Test Battery (OAKBAT) - Galileo
Albright, A. (Creator), Powers, S. (Creator), Bonior, J. (Creator) & Combs, F. (Creator), Constellation by Oak Ridge Leadership Computing Facility (OLCF), Sep 30 2020
DOI: 10.13139/ORNLNCCS/1665888
Dataset
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Oak Ridge Spoofing and Interference Test Battery (OAKBAT) - GPS
Albright, A. (Creator), Powers, S. (Creator), Bonior, J. (Creator) & Combs, F. (Creator), Constellation by Oak Ridge Leadership Computing Facility (OLCF), Sep 30 2020
DOI: 10.13139/ORNLNCCS/1664429
Dataset
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Oak Ridge Spoofing and Interference Test Battery (OAKBAT) - Pure Tones
Albright, A. (Creator), Powers, S. (Creator), Bonior, J. (Creator) & Combs, F. (Creator), Constellation by Oak Ridge Leadership Computing Facility (OLCF), Sep 30 2020
DOI: 10.13139/ORNLNCCS/1668343
Dataset