Recognizing Non-Collaborative Radio Station Communication Behaviors Using an Ameliorated LeNet

Recognizing Non-Collaborative Radio Station Communication Behaviors Using an Ameliorated LeNet

This work improves a LeNet model algorithm based on a signal’s bispectral features to recognize the communication behaviors of a non-collaborative short-wave radio station. At first, the mapping relationships between the burst waveforms and the communication behaviors of a radio station are analyzed...

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Bibliographic Details
Main Authors: Zilong Wu, Hong Chen, Yingke Lei
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
communication behaviors
bispectrum estimation
signal recognition
convolutional neural network (CNN)
short-wave radio station
Online Access:https://www.mdpi.com/1424-8220/20/15/4320

Internet

https://www.mdpi.com/1424-8220/20/15/4320

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