research data . Dataset . 2019

GATEMAN project -- Wide-bandwidth, high-precision GNSS and jammer raw data

Richter, Philipp; Ferre, Ruben Morales; Lohan, Elena-Simona;
Open Access
  • Published: 30 Apr 2019
  • Publisher: Zenodo
Abstract
<p><strong>NOTE:</strong> <em>The data was recorded erroneously and will be updated soon.</em></p> <p>&nbsp;</p> <p>This dataset contains high quality GNSS and jammer raw data generated during the in-lab validation activities of jamming detection and localization performed in the frame of the GATEMAN project.&nbsp;These files are grouped for each type of validation scenario defined. The scenarios are combinations of three different GNSS and three different jamming signals.</p> <p><strong>Content:</strong></p> <p>The archive contains a folder for each validation scenario. Each folder contains two files. One contains the GNSS data and the second file contains jamm...
Subjects
free text keywords: GNSS, interference, jamming, detection, direction finding/localization, Biophysics, Cell Biology, Genetics, Physiology, Ecology, Marine Biology, 110309 Infectious Diseases, Plant Biology, 29999 Physical Sciences not elsewhere classified
Funded by
EC| GATEMAN
Project
GATEMAN
GNSS NAVIGATION THREATS MANAGEMENT
  • Funder: European Commission (EC)
  • Project Code: 783183
  • Funding stream: H2020 | SESAR-RIA
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Zenodo
Dataset . 2019
Provider: Zenodo
Zenodo
Dataset . 2019
Provider: Zenodo
Zenodo
Dataset . 2019
Provider: Datacite
Zenodo
Dataset . 2019
Provider: Datacite
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