IQTF-GFN: A Gated dual-path network for automatic modulation classification of dual-component overlapping emitter signals

Achieving reliable modulation recognition for overlapping dual-component emitter signals in dense, low signal-to-noise ratio (SNR) electromagnetic environments presents a formidable challenge for modern electronic reconnaissance. Conventional deep learning approaches, which primarily rely on time-fr...

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Bibliografiska uppgifter

Huvudupphov:	Lizhi Zhang, BoHan Zhang, Xinhong Hao, Jian Dai, Chaowen Hou, Xiaopeng Yan
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	KeAi Communications Co., Ltd. 2026-05-01
Serie:	Defence Technology
Ämnen:	Overlapping emitter signals Automatic modulation classification (AMC) Multi-modal fusion Physical prior Low signal-to-noise ratio (SNR) Gated mechanism
Länkar:	http://www.sciencedirect.com/science/article/pii/S221491472500368X
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