Application and Optimization of Deep Learning-Based Modulation Format Recognition in Long-Distance Fiber Optic Communication

• Published in: 2025 IEEE 5th International Conference on Electronic Technology, Communication and Information (ICETCI) pp. 1312 - 1316
• Main Authors: Sun, Chaoyue, Gao, Han, Gao, Ze
• Format: Conference Proceeding
• Language: English
• Published: IEEE 23.05.2025
• Subjects: Accuracy; Frequency-domain analysis; Fully Connected Neural Network; Modulation; Modulation Format Recognition; Neural networks; Optical Communication; Optical fiber networks; Optical fibers; Random Forest; Random forests; Signal processing algorithms; Simulation; Time-domain analysis

With the rapid development of information technology, ultra-wideband signals need to quickly switch modulation formats to ensure high-quality communication when wireless channels are subject to interference. This paper proposes a neural network-based modulation format recognition algorithm, which ut...