Identifying GNSS transmitters based on their RadioFrequency (RF) features - a dataset with GNSS roofantenna and Spectracom-based GNSS signals

Description

This dataset contains GNSS signals collected via roof antennas and Spectracom simulator for the purpose of Radio-Frequency Fingerprinting studies for signal-type identification. We offer six different scenarios in open-access for further testing, although additional scenarios are available on-demand (could not be uploaded due to Zenodo maximum uploading limits). This dataset is realted to the paper "Identifying GNSS transmitters based on their RadioFrequency (RF) features - a dataset with GNSS roofantenna and Spectracom-based GNSS signals" (Doi).

Year of publication

2020

Type of data

Authors

Tampere University

Alejandro Sanz-Abia - Creator

Elena Simona Lohan - Creator

Ruben Morales Ferre - Creator

Wenbo Wang - Creator

Zenodo - Publisher

Project

Other information

Fields of science

Electronic, automation and communications engineering, electronics

Language

English

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

Electronic automation and communications engineering electronics

Subject headings

Temporal coverage

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