AI 中文总结
该研究结合硅光子处理器与FPGA控制后端，通过光子盲源分离实现少模光纤传输中动态模间串扰的实时跟踪补偿，维持低误码率与低延迟，为高速IM/DD空分复用链路提供实用方案。
AI 中文摘要
少模光纤中的空分复用可大幅提升光链路容量，但其实际部署受环境扰动引发的动态变化模间串扰阻碍。尽管硅光子可重构模式处理器已被广泛验证，但高速强度调制直接检测（IM/DD）传输期间的持续自适应仍具挑战性。本文实验展示了采用混合光子-电子架构实现动态变化模间串扰的实时跟踪与补偿，该架构结合集成硅光子处理器与基于FPGA的控制后端。光子处理器在光域执行信号分离，FPGA提取信号统计量并实现基于盲源分离（BSS）的反馈算法，无需专用训练序列。两阶段优化策略结合了快速串扰抑制与动态信道变化下的稳定持续跟踪。我们在少模光纤传输系统中验证了针对高达100 GBaud信号的光子盲源分离，以及针对两个64 GBaud数据信道的FPGA使能持续自适应。该系统在动态串扰下维持误码率低于10⁻⁴，单更新控制延迟为4 ms。这些结果为动态高速IM/DD空分复用链路的低延迟、硬件高效自适应光子前端建立了实用路径。
英文摘要
Space-division multiplexing in few-mode fibers can substantially increase optical-link capacity, but its practical deployment is hindered by dynamically varying inter-modal crosstalk induced by environmental perturbations. Although silicon photonic reconfigurable mode processors have been widely demonstrated, continuous adaptation during high-speed intensity-modulation direct-detection (IM/DD) transmission remains challenging. Here, we experimentally demonstrate real-time tracking and compensation of dynamically varying inter-modal crosstalk using a hybrid photonic--electronic framework that combines an integrated silicon photonic processor with an FPGA-based control backend. The photonic processor performs signal separation in the optical domain, while the FPGA extracts signal statistics and implements a blind source separation (BSS)-based feedback algorithm without requiring dedicated training sequences. A two-stage optimization strategy combines rapid crosstalk suppression with stable continuous tracking under dynamic channel variations. We demonstrate photonic blind source separation for signals up to 100 GBaud and FPGA-enabled continuous adaptation for two 64 GBaud data channels in a few-mode-fiber transmission system. The system maintains bit-error rates below $10^{-4}$ under dynamic crosstalk, with a per-update control latency of 4 ms. These results establish a practical route toward low-latency, hardware-efficient adaptive photonic front ends for dynamic high-speed IM/DD space-division-multiplexed links.
