Identifying GNSS Signals Based on their Radio Frequency (RF) Features—A Dataset with GNSS Raw Signals Based on Roof Antennas and Spectracom Generator

Identifying GNSS Signals Based on their Radio Frequency (RF) Features—A Dataset with GNSS Raw Signals Based on Roof Antennas and Spectracom Generator

This is a data descriptor paper for a set of raw GNSS signals collected via roof antennas and Spectracom simulator for general-purpose uses. We give one example of possible data use in the context of Radio Frequency Fingerprinting (RFF) studies for signal-type identification based on front-end hardw...

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Bibliographic Details
Main Authors: Ruben Morales Ferre, Wenbo Wang, Alejandro Sanz Abia, Elena Simona Lohan
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Data
Subjects:
global navigation satellite systems (gnss)
radio frequency fingerprinting (rf fp)
spectracom
roof antenna
galileo
global positioning systems (gps)
machine learning
Online Access:https://www.mdpi.com/2306-5729/5/1/18

Internet

https://www.mdpi.com/2306-5729/5/1/18

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