Mobile Signal Modulation Recognition Based on Multimodal Feature Fusion
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s11036-021-01887-2.pdf
Reference25 articles.
1. Lin Y, Tu Y, Dou Z (2020) An improved neural network pruning technology for automatic modulation classification in edge devices. IEEE Trans Veh Technol 69(5):5703–5706
2. Zhang D, et al. (2018) Automatic modulation classification based on deep learning for unmanned aerial vehicles. Sensors 18(3):924
3. Lin Y, Tu Y, Dou Z, Chen L, Mao S (2021) Contour Stella image and deep learning for signal recognition in the physical layer. IEEE Trans Cogn Commun Netw 7(1):34–46
4. Shah MH (2020) An effective approach for low-complexity maximum likelihood based automatic modulation classification of STBC-MIMO systems. Front Inform Technol Electron Eng 21(3):465–475
5. Zhao Y, Xu Y, Jiang H, Luo Y, Wang Z (2015) Recognition of digital modulation signals based on high-order cumulants. In: 2015 International conference on wireless communications signal processing, pp 1–5
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