An OSNR Monitoring Scheme based on Mean and Variance Value of Signal Amplitude

【Objective】Optical Signal-to-Noise Ratio (OSNR) is an important criterion for evaluating the performance of communication systems. For optical fiber communication systems, stable operation can only be ensured if the OSNR at the receiver end exceeds the receiver's OSNR receiving tolerance. The larger the value, the better the system stability. Therefore, monitoring the OSNR value of the transmission system is very important, and real-time and accurate monitoring of OSNR has always been a challenge in optical fiber communication systems.【Methods】To achieve a simple, efficient, and high-precision OSNR monitoring, based on the mean and variance of the signal amplitude histogram, combined with a Deep Neural Network (DNN), the article proposes a highly accurate OSNR monitoring method. This method utilizes the mean and variance of different regions of the received signal amplitude histogram to extract correlation features of the signal amplitude histogram as it changes with OSNR using the DNN, thereby enabling the m