Detection and Classification of GNSS Jammers Using Convolutional Neural Networks
Author:
Affiliation:
1. Politecnico di Torino,Dept. of Electronics and Telecommunications,Turin,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9797013/9797014/09797030.pdf?arnumber=9797030
Reference30 articles.
1. N-FUELS and SOPRANO: Educational tools for simulation, analysis and processing of satellite navigation signals
2. Machine Learning Utilization in GNSS—Use Cases, Challenges and Future Applications
3. Comparison of medical image classification accuracy among three machine learning methods
4. A survey on image classification techniques;sanghvi;SSRN Electronic Journal,2021
5. Fauna image classification using convolutional neural network;sanghvi;International Journal of Future Generation Communication and Networking,2020
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