基于卷積神經網絡架構
CNN
參考文獻
T.J. O’Shea, J. Corgan, T.C. Clancy, Convolutional radio modulation recognition networks, in: Proc. Int. Conf. Eng. Appl. Neural Netw., Springer, 2016, pp. 213–226.
MCNet
參考文獻
T. Huynh-The, C.-H. Hua, Q.-V. Pham, and D.-S. Kim, “MCNet: An efficient CNN architecture for robust automatic modulation classification,” IEEE Commun. Lett., vol. 24, no. 4, pp. 811–815, Apr. 2020.
IC-AMCNet
參考文獻
A.P. Hermawan, R.R. Ginanjar, D.S. Kim, J.M. Lee, CNN-based automatic modulation classification for beyond 5G communications, IEEE Commun. Lett. 24 (2020) 1038–1041.
ResNet
參考文獻
X. Liu, D. Yang, A. El Gamal, Deep neural network architectures for modulation classification, in: Proc. 51st Asilomar Conf. Signals, Syst., Comput., 2017, pp. 915–919.
DenseNet
參考文獻
X. Liu, D. Yang, A. El Gamal, Deep neural network architectures for modulation classification, in: Proc. 51st Asilomar Conf. Signals, Syst., Comput., 2017, pp. 915–919.
基于循環神經網絡架構
GRU
參考文獻
D. Hong, Z. Zhang, and X. Xu, “Automatic modulation classification using recurrent neural networks,” in Proc. 3rd IEEE Int. Conf. Comput. Commun. (ICCC), 2017, pp. 695–700.
LSTM
參考文獻
S. Rajendran, W. Meert, D. Giustiniano, V. Lenders, S. Pollin, Deep learning models for wireless signal classification with distributed low-cost spectrum sensors, IEEE Trans. Cogn. Commun. Netw. 4 (2018) 433–445.
DAE
參考文獻
Z. Ke, H. Vikalo, Real-time radio technology and modulation classification via an LSTM auto-encoder, IEEE Trans. Wirel. Commun. 21 (2022) 370–382.
基于混合神經網絡架構
CLDNN
一種混合網絡架構，直接使用IQ信號進行識別。
- CNN 提取局部時頻特征；
- LSTM 捕捉時間依賴；
- DNN 輸出最終預測。
參考文獻
X. Liu, D. Yang, and A. El Gamal, “Deep neural network architectures for modulation classification,” in Proc. 51st Asilomar Conf. Signals, Syst., Comput., 2017, pp. 915–919.
架構圖
