Photonics Research, Volume. 9, Issue 1, B1(2021)
Modulation format identification in fiber communications using single dynamical node-based photonic reservoir computing
Fig. 1. Schematic of the MFI based on the P-RC with semiconductor lasers. This system consists of three parts: input layer, reservoir, and output layer. The input
Fig. 2. Sketch of the emulated transmission system for asynchronous amplitude histogram generation. EDFA, erbium-doped fiber amplifier; SMF, single-mode fiber; CD/PMD, chromatic dispersion/polarization mode dispersion; BPF, band-pass filter; PD, photodetector; AAH, asynchronous amplitude histogram.
Fig. 3. Typical asynchronous amplitude histograms for (a1)–(a3) OOK, (b1)–(b3) DQPSK, and (c1)–(c3) QAM formats after propagation through the emulated communication channel. From left to right, each column has an OSNR of 12, 19, and 26 dB, while the corresponding CD and the DGD are fixed at 80 ps/nm and 5 ps, respectively.
Fig. 4. (a) Identification error rate on the total (training and test) sample numbers of the binary mask (black), the six-level mask (blue), and the chaos mask signals (red). (b) Dependence of the identification error rate on the total (training and test) sample numbers at different virtual node sizes of 300 (blue) and 400 (red).
Fig. 5. (a) Bifurcation diagram of the output optical intensity versus the injection strength
Fig. 6. (a) Bifurcation diagram of the output optical intensity versus the feedback strength
Fig. 7. (a) Bifurcation diagram of the output optical intensity versus the bias current of the R-Laser
Fig. 8. (a) Bifurcation diagram of the output optical intensity versus the frequency detuning
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Qiang Cai, Ya Guo, Pu Li, Adonis Bogris, K. Alan Shore, Yamei Zhang, Yuncai Wang. Modulation format identification in fiber communications using single dynamical node-based photonic reservoir computing[J]. Photonics Research, 2021, 9(1): B1
Special Issue: DEEP LEARNING IN PHOTONICS
Received: Sep. 9, 2020
Accepted: Nov. 13, 2020
Published Online: Dec. 25, 2020
The Author Email: Pu Li (lipu8603@126.com)