| 基于生成对抗网络的长距离光缆随路状态自动化监测系统仿真 |
投稿时间：2025-11-12 修订日期：2025-11-21  点此下载全文 |
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| 中文摘要:在长距离光缆通信系统中，随路状态监测易受偏振衰落与非线性相位噪声的耦合影响，导致频谱响应畸变、信号完整性劣化，进而引起监测幅值偏离真实物理状态，严重制约系统可靠性与监测精度。因此，研究了基于生成对抗网络的长距离光缆随路状态自动化监测系统仿真这一课题。在硬件方面，设计了光时域反射仪以及光栅阵列高性能声波传感器。在软件方面，依据光纤光栅序列反射光信号的时序，来感知长距离光缆随路状态的偏振衰落。以偏振衰落作为输入条件，构建生成对抗网络监测的损失优化目标函数，在随路状态振动相位变化的条件下，监测光缆随路的偏振劣化频谱，进而实现长距离光缆随路状态的自动化精准监测。最终的监测结果显示，监测幅值0~500με的范围内变化，在实际幅值的理想曲线上，监测结果较为精准，对于长距离光缆随路的稳定运行具有重要作用。 |
| 中文关键词:生成对抗网络 长距离光缆 随路状态 自动化监测 仿真测试 |
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| Simulation of an Automated Monitoring System for Long-Distance Optical Fiber Cable In-Band Status Based on Generative Adversarial Networks |
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| Abstract:In long-distance optical cable communication systems, along the way state monitoring is susceptible to the coupling effects of polarization fading and nonlinear phase noise, leading to spectral response distortion and signal integrity degradation, which in turn causes the monitoring amplitude to deviate from the true physical state, seriously restricting system reliability and monitoring accuracy. Therefore, the simulation of a long-distance fiber optic cable routing state automatic monitoring system based on generative adversarial networks was studied. In terms of hardware, an optical time domain reflectometer and a grating array high-performance acoustic sensor have been designed. In terms of software, the polarization fading of long-distance optical cables can be perceived based on the timing of the reflected light signal from the fiber Bragg grating sequence. Using polarization fading as an input condition, a loss optimization objective function for generative adversarial network monitoring is constructed to monitor the polarization degradation spectrum of optical cables along the path under the condition of phase variation of vibration along the path, thereby achieving automatic and accurate monitoring of long-distance optical cable along the path. The final monitoring results show that the monitoring amplitude varies within the range of 0-500 μ ε. On the ideal curve of the actual amplitude, the monitoring results are relatively accurate and play an important role in the stable operation of long-distance optical cables along the route. |
| keywords:Generative adversarial network Long-distance optical fiber cable In-band status Automated monitoring Simulation test |
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