Dynamic perturbation mitigation via polarization difference neural network for high-fidelity ring core fiber image transmission

Author:

Wu ZheyuORCID,Gao Ran,Zhu Jianping,Wang FeiORCID,Chang Huan,Li Zhipei,Guo DongORCID,Zhu LeiORCID,Zhang Qi123,Huang Xin4,Yan Jinghao4,Jiang Lin4,Xin Xiangjun

Affiliation:

1. Beijing University of Posts and Telecommunications BUPT

2. Beijing Key Laboratory of Space-Ground Interconnection and Convergence

3. State Key Laboratory of Information Photonics and Optical Communications

4. Ultra-High Speed Communication Laboratory

Abstract

Ring core fibers (RCFs) offer unique advantages in fiber image transmission, as their weakly-coupled orbital angular momentum mode groups result in high resolution images. However, severe image distortion is still exhibited during fiber transmission when subjected to strong disturbances. Here, we present a novel approach with a differential neural network, namely the polarization speckle differential imaging (PSDI) method, to significantly enhance both the robustness and image resolution of RCF-based imaging systems. When the fibers are disturbed, the PSDI method establishes the perturbation mapping relationship between two polarization speckles and utilizes a differential method to eliminate the perturbation effect in the speckles. This approach mitigates environmental disturbances, resulting in an enhancement of the imaging system's robustness in dynamic environments. By addressing the limitations of conventional techniques, this research represents a significant advancement in the field of fiber imaging technology, with potential applications ranging from endoscopy to high-resolution imaging in complex and dynamic settings.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China for Excellent Young Scholars

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Beijing Municipal Natural Science Foundation

Publisher

Optica Publishing Group

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