We present a simple approach based on photonic reservoir computing (P-RC) for modulation format identification (MFI) in optical fiber communications. Here an optically injected semiconductor laser with self-delay feedback is trained with the representative features from the asynchronous amplitude histograms of modulation signals. Numerical simulations are conducted for three widely used modulation formats (on–off keying, differential phase-shift keying, and quadrature amplitude modulation) for various transmission situations where the optical signal-to-noise ratio varies from 12 to 26 dB, the chromatic dispersion varies from $-500$ to 500 ps/nm, and the differential group delay varies from 0 to 20 ps. Under these situations, final simulation results demonstrate that this technique can efficiently identify all those modulation formats with an accuracy of $>95\%$ after optimizing the control parameters of the P-RC layer such as the injection strength, feedback strength, bias current, and frequency detuning. The proposed technique utilizes very simple devices and thus offers a resource-efficient alternative approach to MFI.

中文翻译：

---

光纤通信中基于单个动态节点的光子储层计算的调制格式识别

我们提出了一种基于光子储层计算（P-RC）的简单方法，用于光纤通信中的调制格式识别（MFI）。在此，具有自延迟反馈的光注入半导体激光器通过调制信号的异步幅度直方图的典型特征进行训练。针对三种广泛使用的调制格式（开-关键控，差分相移键控和正交幅度调制）进行了数值模拟，以用于各种传输情况，其中光信噪比在12至26 dB之间变化，色散从$-500$到500 ps / nm，差分群延迟从0到20 ps不等。在这种情况下，最终的仿真结果表明，该技术可以有效地识别所有这些调制格式，而精度为$>95％$优化P-RC层的控制参数后，例如注入强度，反馈强度，偏置电流和频率失谐。所提出的技术利用了非常简单的设备，因此为MFI提供了一种资源有效的替代方法。