Identification of distorted optical signals based on reservoir computing
Xiaowei Dong, Xian Wang · 2023
In this paper, we adopt a double-delayed parallel reservoir computing scheme to identify the noise-interfered distorted optical signals with IQ modulation formats (QPSK, 4QAM, 8PSK). Influences of different input layer masks and signal-noise-ratio (SNR) are investigated in detail. Results demonstrate that the proposed photonic reservoir computing can achieve over 97% identification accuracy for distorted QPSK-4QAM or QPSK-8PSK signal sequences.