Spectrum Sensing Algorithm Based on Self-Supervised Contrast Learning
The traditional spectrum sensing algorithm based on deep learning requires a large number of labeled samples for model training, but it is difficult to obtain them in the actual sensing scene. This paper applies self-supervised contrast learning in order to solve this problem, and a spectrum sensing...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/12/6/1317 |