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March 3, 2026
WDCGAN-GSMR: A more accurate framework for small-sample radar signal modulation recognition
QZ
Qinghui Zhang
WL
Wenzheng Li
CW
Chenxia Wan
Puntos clave
Enhanced modulation recognition accuracy is achieved using the WDCGAN-GSMR framework with small-sample radar signals.
In experiments, the framework shows a significant performance increase, with improvements noted in modulation classification tasks.
Assessment includes machine learning techniques designed specifically for radar signal data, incorporating data augmentation.
Significance highlights the need for effective modulation recognition methods in radar technologies, potentially aiding in various applications.
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Zhang et al. (Sat,) studied this question.
synapsesocial.com/papers/69a75f31c6e9836116a2a62d
https://doi.org/https://doi.org/10.1016/j.dsp.2026.105971
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WDCGAN-GSMR: A more accurate framework for small-sample radar signal modulation recognition | Synapse