Antiference: New Concept for Evolutive Mitigation of RFI to GNSS
Author:
Affiliation:
1. OHB Digital Solutions GmbH, Kärntner Straße 7b/1, 8020 Graz, Austria
2. S&T—Science and Technology BV, Olof Palmestraat 14, 2616 Delft, The Netherlands
3. Integricom, Tjalkenwerf 30, 2317 Leiden, The Netherlands
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/54/1/61/pdf
Reference27 articles.
1. Caparra, G., Ceccato, P., Formaggio, F., Laurenti, N., and Tomasin, S. (2018, January 24–28). Low Power Selective Denial of Service Attacks Against GNSS. Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018), Miami, FL, USA.
2. A look at the Threat of Systematic Jamming of GNSS;Curren;Inside GNSS,2017
3. Jamming Prediction for Radar Signals Using Machine Learning Methods;Lee;Secur. Commun. Netw.,2020
4. Who’s Afraid of the Spoofer? GPS/GNSS Spoofing Detection via Automatic Gain Control (AGC);Akos;Navigation,2012
5. Arjoune, Y., Salahdine, F., Islam, S., Ghribi, E., and Kaabouch, N. (2020, January 7–10). A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication. Proceedings of the 2020 International Conference on Information Networking (ICOIN), Barcelona, Spain.
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