Convolutional neural networks with feature fusion method for automatic modulation classification

• Main Authors: Elshebani, Mohamed Salem, Ali, Yahya, Azroug, Nser, Khalifa, Ramdan A. M., Khalifa, Othman Omran, Saeed, Rashid A.
• Format: Proceeding Paper
• Language: English; English
• Published: IEEE 2023
• Subjects: T Technology (General); T10.5 Communication of technical information
• Online Access: http://irep.iium.edu.my/107251/1/107251_Convolutional%20neural%20networks.pdf; http://irep.iium.edu.my/107251/7/107251_Convolutional%20Neural%20Networks%20with%20Feature%20Fusion%20Method%20for%20Automatic%20Modulation%20Classification_SCOPUS.pdf; http://irep.iium.edu.my/107251/; https://ieeexplore.ieee.org/abstract/document/10246028
• Institution: Universiti Islam Antarabangsa Malaysia

The analogy and application of Automatic modulation classification (AMC) detects the modulation type of received signals. Henceforth, the received signals can be correctly demodulated and, consequently, the transmitted message can be recovered. In Deep Learning (DL) based modulation classification,...