Data accompanying "Dual-End Physics-Based Neural Augmentation for Robust Fiber Impairment Compensation: Mitigating Pre- and Post-Model Errors"

This open access dataset contains the measurement data for the results presented in "Dual-End Physics-Based Neural Augmentation for Robust Fiber Impairment Compensation: Mitigating Pre- and Post-Model Errors" (https://doi.org/10.1109/JLT.2026.3657767), including BER results under varying parameter mismatch coefficients, transmission distances, and input powers.本开放获取数据集包含发表于论文《双端基于物理的神经增强方法实现鲁棒光纤损伤补偿：抑制模型前后误差》（Dual-End Physics-Based Neural Augmentation for Robust Fiber Impairment Compensation: Mitigating Pre- and Post-Model Errors，DOI: 10.1109/JLT.2026.3657767）中所呈现结果的测量数据，涵盖不同参数失配系数、传输距离及输入功率条件下的误码率（Bit Error Rate, BER）结果。