Radio-Frequency-Fingerprinting: An-Efficient-Specific-Emitter-Identification-Method-Based-on-Complex-Valued-Neural-Network-and-Network-Compression

Requirements

keras=2.1.4, tf=1.14.0

SGD

Sparse structure selection based on the simple SGD

PSGD

Sparse structure selectionbased on ISTA

FastPSGD

Sparse structure selection based on FISTA, its convergence speed is faster than that of PSGD

Dataset

https://pan.baidu.com/s/1RQ_mAn1UvVefeQVFyI9-Ag passwd：rmff

Future works

AMP+ADMM for sparse structure selection

Paper

Y. Wang, G. Gui, H. Gacanin, T. Ohtsuki, O. A. Dobre and H. V. Poor, "An Efficient Specific Emitter Identification Method Based on Complex-Valued Neural Networks and Network Compression," in IEEE Journal on Selected Areas in Communications, vol. 39, no. 8, pp. 2305-2317, Aug. 2021, doi: 10.1109/JSAC.2021.3087243.

@ARTICLE{9448105,  author={Wang, Yu and Gui, Guan and Gacanin, Haris and Ohtsuki, Tomoaki and Dobre, Octavia A. and Poor, H. Vincent},  journal={IEEE Journal on Selected Areas in Communications},   title={An Efficient Specific Emitter Identification Method Based on Complex-Valued Neural Networks and Network Compression},   year={2021},  volume={39},  number={8},  pages={2305-2317},  doi={10.1109/JSAC.2021.3087243}}

License / 许可证

本项目基于自定义非商业许可证发布，禁止用于任何形式的商业用途。

This project is distributed under a custom non-commercial license. Any form of commercial use is prohibited.