An Efficient Radio Frequency Interference (RFI) Recognition and Characterization Using End-to-End Transfer Learning

An Efficient Radio Frequency Interference (RFI) Recognition and Characterization Using End-to-End Transfer Learning

Radio Frequency Interference (RFI) detection and characterization play a critical role in ensuring the security of all wireless communication networks. Advances in Machine Learning (ML) have led to the deployment of many robust techniques dealing with various types of RFI. To sidestep an unavoidable...

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Bibliographic Details
Main Authors: Sahar Ujan, Neda Navidi, Rene Jr Landry
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Applied Sciences
Subjects:
radio frequency interference detection
deep learning
transfer learning
pretrained convolutional neural networks
Online Access:https://www.mdpi.com/2076-3417/10/19/6885

Internet

https://www.mdpi.com/2076-3417/10/19/6885

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