Multidomain Characteristic-guided Multimodal Contrastive Recognition Method for Active Radar Jamming

Achieving robust joint utilization of multidomain characteristics and deep-network features while maintaining a high jamming-recognition accuracy with limited samples is challenging. To address this issue, this paper proposes a multidomain characteristic-guided multimodal contrastive recognition met...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Wenjie GUO, Zhenhua WU, Yice CAO, Qiang ZHANG, Lei ZHANG, Lixia YANG
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	China Science Publishing & Media Ltd. (CSPM) 2024-10-01
Schriftenreihe:	Leida xuebao
Schlagworte:	radar active jamming recognition extreme small samples multidomain jamming characteristics multimodal supervised contrastive learning
Online-Zugang:	https://radars.ac.cn/cn/article/doi/10.12000/JR24129
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