Deep radio signal clustering with interpretability analysis based on saliency map
With the development of information technology, radio communication technology has made rapid progress. Many radio signals that have appeared in space are difficult to classify without manually labeling. Unsupervised radio signal clustering methods have recently become an urgent need for this situat...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2024-10-01
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Series: | Digital Communications and Networks |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352864823000238 |