Resource-Constrained Specific Emitter Identification Based on Efficient Design and Network Compression

Resource-Constrained Specific Emitter Identification Based on Efficient Design and Network Compression

Specific emitter identification (SEI) methods based on deep learning (DL) have effectively addressed complex, multi-dimensional signal recognition tasks by leveraging deep neural networks. However, this advancement introduces challenges such as model parameter redundancy and high feature dimensional...

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Bibliographic Details
Main Authors: Mengtao Wang, Shengliang Fang, Youchen Fan, Shunhu Hou
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
specific emitter identification (SEI)
radio frequency fingerprinting (RFF)
deep learning (DL)
lightweight convolution network (LCNet)
sparse feature selection (SFS)
Online Access:https://www.mdpi.com/1424-8220/25/7/2293
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