Specific Emitter Identification Based on Radio Frequency Fingerprint Using Multi-Scale Network

Author:

Zhang Yibin1,Peng Yang1,Adebisi Bamidele2,Gui Guan1,Gacanin Haris3,Sari Hikmet1

Affiliation:

1. NJUPT,College of Telecommunications and Information Engineering,Nanjing,China

2. Manchester Metropolitan University,Department of Engineering,Manchester,UK

3. Institute for Communication Technologies and Embedded Systems, RWTH Aachen University,Aachen,Germany

Publisher

IEEE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data Augmentation and Individual Identification Method for Emitters Using Contour Stella Image Mapping;IEEE Transactions on Cognitive Communications and Networking;2024-08

2. A RSBU-LSTM network for radio frequency fingerprint identification relying on multiple features;EURASIP Journal on Advances in Signal Processing;2024-06-28

3. Specific Emitter Identification Using Adaptive Signal Feature Embedded Knowledge Graph;IEEE Internet of Things Journal;2024-02-01

4. Incremental Learning-Based Radio Frequency Fingerprint Identification via Exemplar Replay;2023 IEEE 23rd International Conference on Communication Technology (ICCT);2023-10-20

5. Specific Emitter Identification Based on Multi-Scale Attention Feature Fusion Network;2023 IEEE 23rd International Conference on Communication Technology (ICCT);2023-10-20

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