Weak Labeling-specific Emitter Identification Algorithm Based on the Weakly Supervised Wav-KAN Network

Most existing specific emitter identification technologies rely on supervised learning, making them unsuitable for scenarios with label loss due to factors such as the acquisition environment (e.g., weather conditions, terrain, obstacles, and interference sources), device performance (e.g., radar re...

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Autori principali:	Kangsheng LIU, Qing LING, Wenjun YAN, Limin ZHANG, Keyuan YU, Hengyan LIU
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	China Science Publishing & Media Ltd. (CSPM) 2025-04-01
Serie:	Leida xuebao
Soggetti:	specific emitter identification (sei) weakly supervised wav-kan (wsw-kan) pseudo-label iteration weakly supervised learning contrastive learning neural network
Accesso online:	https://radars.ac.cn/cn/article/doi/10.12000/JR24248
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