Disruptive GNSS Signal detection and classification at different Power levels Using Advanced Deep-Learning Approach
Author:
Affiliation:
1. University of Helsinki,Department of Computer Science,Finland
2. AI Analyst Immervision,Montreal,Canada
Funder
Academy of Finland
University of Helsinki
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9797013/9797014/09797026.pdf?arnumber=9797026
Reference30 articles.
1. A survey of transfer learning
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5. GNSS Cloud-Data Processing Technique for Jamming Detection and Localization
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2. A survey of machine learning techniques for improving Global Navigation Satellite Systems;EURASIP Journal on Advances in Signal Processing;2024-06-28
3. GNSS Anomaly Detection with Complex-Valued LSTM Networks;2024 International Conference on Localization and GNSS (ICL-GNSS);2024-06-25
4. CLPDI-based Fast Secure Code Estimation and Replay Attacks on GNSS Signals;2024 Security for Space Systems (3S);2024-05-27
5. LJCD-Net: Cross-Domain Jamming Generalization Diagnostic Network Based on Deep Adversarial Transfer;Sensors;2024-05-21
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