volume | PIER Journals

Abstract

Fibre optic coupling is a critical component in optical communication systems, which involves efficiently transmitting optical signals from a light source to an optical fibre and efficiently receiving optical signals from the optical fibre to an optical detector. This process requires minimizing the loss of optical signals during the coupling process to maintain the performance and stability of the communication system. The complex environmental conditions and dynamic changes in optical systems that traditional optimization methods face often make it difficult to handle effectively. Therefore, this study uses deep reinforcement learning and adaptive optics technology to optimize fibre coupling efficiency. The optical fibre transmission performance is analyzed and optimized. Because the 2.6 Gb/s optical transmission system is a highspeed optical communication system capable of transmitting 260 million bits of data per second on a single optical fibre, this study selected the 2.6 Gb/s optical transmission system for single fibre three-way optical components. The optimization results show that the thickness of the isolator has been reduced by 2.356 mm, and the coupling efficiency has reached 79.95%. The optimized coupling steps can effectively optimize the coupling process, and the optimized optical components have high coupling efficiency, yield, and integration. The analysis of multiple sets of experimental data showed that the proposed method could improve the fibre coupling efficiency by an average of 15% to 20% under different environmental conditions. These data also show that the new framework performs well in optical path optimization and demonstrates excellent stability and real-time response capabilities in complex environments.

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Mr. Fang Bai

Dr. Rongfu Qiao